Daoyuan Wu
Research Assistant Professor

Department of Computer Science and Engineering

The Hong Kong University of Science and Technology

Email: daoyuan [at] cse.ust.hk; dywu [at] ie.cuhk.edu.hk

Gmail: daoyuan0x DBLP | Google Scholar

I am currently a Research Assistant Professor (PhD Supervisor, with duties including grant application and teaching) at HKUST CSE. I work closely with Prof. Shuai Wang and his students. Prior to joining HKUST, I was a Senior Research Fellow at Nanyang Technological University (NTU) for one year, working with Prof. Yang Liu on LLM-driven Web3 Security. Before that, I spent six months as a Senior Researcher at Huawei Hong Kong Research Centre and three years as a Research Assistant Professor in the Department of Information Engineering, The Chinese University of Hong Kong (CUHK). I also served as an Adjunct Assistant Professor at CUHK IE from 2022 to 2023. Before CUHK, I earned Ph.D. in 2019 from Singapore Management University (SMU) in the School of Computing and Information Systems. My PhD study was generously supported by the Secure Mobile Center (SMC) PhD Scholarship (the only awardee; plus that GRE was wavied). Before pursuing my PhD, I received M.Phil. from Department of Computing at The Hong Kong Polytechnic University in 2015 and B.E. from Department of Information Security at Nanjing University of Posts and Telecommunications in 2011.

My research focuses on three areas: (i) Large Language Model and AI Security, (ii) Blockchain and FinTech Security, and (iii) Mobile and Software Security. Over the years, I have made the following representative works:

RAG4Sec: the first to exploit the concept of RAG or its variant for cybersecurity tasks, including LLM4Vuln [arXiv'24] for vulnerability detection (via GPT-summarized knowledge), PropertyGPT [NDSS'25] for formal verification (via example-based ICL), ACFix [arXiv'24] for vulnerability repair (via mined common practice), and more.
GPTScan: the first [ICSE'24] to deeply connect LLM with static analysis, opening door to sound LLM-based code analysis.
SelfDefend: the first generic LLM jailbreak defense framework that allows LLMs to defend themselves in a practical manner.
Tune4Sec: customized tuning for cybersecurity tasks, including iAudit [ICSE'25] by combining fine-tuning and LLM agents, LLMImitation [ICSE'24] for code model imitation, PTM4AWI [arXiv'24] for Actionable Warning Identification (AWI), and more.
BlockScope: a search-based patch vs. code similarity analysis tool [NDSS'23] for discovering 100+ vulnerabilities in top blockchains, including Dogecoin (new CVE-2021-37491), Binance's BSC Chain (a bug bounty), and Optimism/Base/Mantle.
AC4Web3: the first to study access control bugs in OpenZeppelin [USENIX'24] and customized function modifiers [ISSTA'23].
BackDroid: a very creative search-based CG technique, on-the-fly bytecode search, to address a fundamental limitation in Android app analysis. It enables usage in Open Ports [NDSS'19], MtdScout [EuroS&P'24], and DSDK [EMSE'21, WASA'17].
MopEye: the first non-intrusive crowdsourcing app MopEye [ATC'17] for security and networking research, leading to further work on AcuteMon [CoNEXT'16], UpDroid [WiSec'18], Dataset [IWQoS'19], NetMon [NDSS'19], and SideNet [TII'21].
A pioneering contribution to Android Component security (60+ CVEs) and WebView security (e.g., CVE-2014-7224 for Android and CVE-2015-5921 for iOS) with an ITF grant, Local [ISC'14] and Remote Attacks [MoST'15], and IABI Usability [RAID'21].

I am looking for highly self-motivated students (PhD/MPhil/RA) with expertise in AI;Blockchain;PL/Fuzzing to join VPRLab.
Strong PhD candidates are welcome to contact my close collaborators: Prof. Yang Liu, Prof. Shuai Wang, Prof. Debin Gao,
Prof. Yingjiu Li, Prof. Robert Deng, Prof. Lingxiao Jiang, Prof. David Lo, and Prof. Kehuan Zhang. I can help recommend.

Research Areas

Large Language Models and AI Security: LLMs for Pervasive Cybersecurity; LLM Security; AI Safety.
ForSec: PropertyGPT [NDSS'25], GPTScan [ICSE'24], iAudit [ICSE'25], ML4AWI [CSUR'24], SideNet [TII'21], UpDroid [WiSec'18], ACFix [arXiv'24], PTM4AWI [arXiv'24], and LLM4Vuln [arXiv'24].
AISec/Quality: HEDiff [ICSE'25], Portia [EMNLP'24Main], LLMImitation [ICSE'24], DataScope [arXiv'24], SelfDefend [arXiv'24], PDoctor [arXiv'24], MLM4VDL [arXiv'24], and VRPTEST [arXiv'23].
Blockchain and FinTech Security: analyzing Blockchain, Smart Contract, and Layer-2/Rollup security.
ZepScope [USENIX'24], BlockScope [NDSS'23], SoMo [ISSTA'23], and MineBlockVuln [FSE'22]. LLM-related are listed above.
Mobile and Software Security: static/dynamic/vulnerability/malware/privacy analysis; Rust/EdgeAI security.
BackDroid [DSN'21], Insecure Open Ports [NDSS'19], MtdScout [EuroS&P'24], DSDK Inconsistency [EMSE'21, WASA'17], VoIP Fuzzing [DIMVA'20], Insecure PendingIntents [Blackhat Europe'21], IABI Usability Insecurity [RAID'21], MineAndroVuln [AsiaCCS'19], SCLib [CODASPY'18], Remote Webview Attacks [MoST'15], Local Webview File:// Attack [ISC'14], LiCA [RAID'22], App Repackaging [TDSC'21], Native Stack [ICISC'15], and ECVDetector [arXiv'14]. My recent focus in this area includes Rust/EdgeAI security and usability privacy studies, the latter in collaboration with my wife. We are looking for students!
I am also interested in network and web measurement, blockchain-based decentralized apps, and AI-based smart systems.
MopEye [ATC'17], MopEye Dataset [IWQoS'19], Speedtest Inaccuracy [INFOCOM'15, TMC'17], and AcuteMon [CoNEXT'16].
iExam [arXiv'22] and AGChain [arXiv'21].

Publications

Published Papers

P32	PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation NDSS '25 Ye Liu, Yue Xue#, Daoyuan Wu*, Yuqiang Sun, Yi Li, Miaolei Shi, and Yang Liu To appear in Proc. ISOC Network and Distributed System Security Symposium (NDSS), San Diego, USA, 2025.
P31	Testing and Understanding Deviation Behaviors in FHE-hardened Machine Learning Models ICSE '25 Yiteng Peng, Daoyuan Wu, Zhibo Liu, Dongwei Xiao, Zhenlan Ji, Juergen Rahmel, and Shuai Wang To appear in ACM SIGSOFT International Conference on Software Engineering (ICSE), Ottawa, Ontario, Canada, 2025.
P30	Combining Fine-tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications ICSE '25 Wei Ma, Daoyuan Wu*, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, and Yang Liu To appear in ACM SIGSOFT International Conference on Software Engineering (ICSE), Ottawa, Ontario, Canada, 2025.
P29	Split and Merge: Aligning Position Biases in LLM-based Evaluators EMNLP '24 Main Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, and Yang Liu To appear in the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), Miami, Florida, USA, 2025.
P28	Machine Learning for Actionable Warning Identification: A Comprehensive Survey CSUR '24 Xiuting Ge, Chunrong Fang, Xuanye Li, Weisong Sun, Daoyuan Wu, Juan Zhai, Shangwei Lin, Zhihong Zhao, Yang Liu, and Zhenyu Chen In ACM Computing Surveys (CSUR), 2024.
P27	Using My Functions Should Follow My Checks: Understanding and Detecting Insecure OpenZeppelin Code in Smart Contracts USENIX Security '24 Han Liu, Daoyuan Wu*, Yuqiang Sun, Haijun Wang, Kaixuan Li, Yang Liu, and Yixiang Chen In USENIX Security Symposium, Philadelphia, PA, USA, 2024.
P26	MtdScout: Complementing the Identification of Insecure Methods in Android Apps via Source-to-Bytecode Signature Generation and Tree-based Layered Search EuroS&P '24 Zicheng Zhang, Haoyu Ma#, Daoyuan Wu*, Debin Gao, Xiao Yi, Yufan Chen, Yan Wu, and Lingxiao Jiang In IEEE European Symposium on Security and Privacy (EuroS&P), Vienna, Austria, 2024.
P25	GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis ICSE '24 Yuqiang Sun, Daoyuan Wu*, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, and Yang Liu In ACM SIGSOFT International Conference on Software Engineering (ICSE), Lisbon, Portugal, 2024.
P24	On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study ICSE '24 Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, and Yang Liu In ACM SIGSOFT International Conference on Software Engineering (ICSE), Lisbon, Portugal, 2024.
P23	Beyond “Protected” and “Private”: An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts ISSTA '23 Yuzhou Fang, Daoyuan Wu, Xiao Yi, Shuai Wang, Yufan Chen, Mengjie Chen, Yang Liu, and Lingxiao Jiang In ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), Seattle, United States, 2023.
P22	BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects NDSS '23 Xiao Yi, Yuzhou Fang, Daoyuan Wu*, and Lingxiao Jiang In Proc. ISOC Network and Distributed System Security Symposium (NDSS), San Diego, USA, 2023. One of the top 13 papers directly accepted over 581 submissions. In this paper, we discovered over 100 vulnerabilities in top blockchains.
P21	An Empirical Study of Blockchain System Vulnerabilities: Modules, Types, and Patterns FSE '22 Xiao Yi, Daoyuan Wu*, Lingxiao Jiang, Yuzhou Fang, Kehuan Zhang, and Wei Zhang In ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Singapore, 2022. The first systematic study about system-level blockchain vulnerabilities, in which we performed the file-, text-, and code-level analysis.
P20	LiCA: A Fine-grained and Path-sensitive Linux Capability Analysis Framework RAID '22 Menghan Sun, Zirui Song, Xiaoxi Ren, Daoyuan Wu, and Kehuan Zhang In the 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), Limassol, Cyprus, 2022.
P19	On the Usability (In)Security of In-App Browsing Interfaces in Mobile Apps RAID '21 Zicheng Zhang, Daoyuan Wu, Lixiang Li, and Debin Gao We identified usability security issues in Facebook, Snapchat, and LinkedIn apps.* In the 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), San Sebastian, Spain, October, 2021.
P18	When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid DSN '21 Daoyuan Wu, Debin Gao, Robert H. Deng, and Rocky K. C. Chang We started programming BackDroid since December 2015. I will keep leading this search-based static analysis project and make it an impactful work. Accepted by Dependable Systems and Networks (DSN) with a high review score; The majority of earlier reviews from NDSS/MobiCom were also positive.
P17	Active Warden Attack: On the (In)Effectiveness of Android App Repackage-Proofing TDSC '21 Haoyu Ma, Shijia Li, Debin Gao, Daoyuan Wu, Qiaowen Jia, and Chunfu Jia In IEEE Transactions on Dependable and Secure Computing.
P16	Deep-Learning-Based App Sensitive Behavior Surveillance for Android Powered Cyber-Physical Systems TII '21 Haoyu Ma, Jianwen Tian, Kefan Qiu, David Lo, Debin Gao, Daoyuan Wu, Chunfu Jia, and Thar Baker In IEEE Transactions on Industrial Informatics.
P15	Scalable Online Vetting of Android Apps for Measuring Declared SDK Versions and Their Consistency with API Calls EMSE '21 Daoyuan Wu, Debin Gao, and David Lo In Springer Empirical Software Engineering. This article extends our preliminary conference version at WASA'17.
P14	Understanding Android VoIP Security: A System-level Vulnerability Assessment DIMVA '20 En He, Daoyuan Wu, and Robert H. Deng We discovered and reported 8 zero-day vulnerabilities in Android VoIP system components. Google acknowledged us with 8 bug bounties.* In Proc. Springer Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA), Lisboa, Portugal, 2020.
P13	Towards Understanding Android System Vulnerabilities: Techniques and Insights AsiaCCS '19 Daoyuan Wu, Debin Gao, Eric K. T. Cheng, Yichen Cao, Jintao Jiang, and Robert H. Deng In Proc. ACM Asia Conference on Computer and Communications Security (AsiaCCS), Auckland, New Zealand, 2019. (AR = 58/258 = 22%)
P12	An Empirical Study of Mobile Network Behavior and Application Performance in the Wild IWQoS '19 Shiwei Zhang, Weichao Li, Daoyuan Wu, Bo Jin, Rocky K. C. Chang, Debin Gao, Yi Wang, and Ricky K. P. Mok In Proc. IEEE/ACM International Symposium on Quality of Service (IWQoS), Phoenix, USA, 2019. (AR = 42/153 = 27.4%)
P11	Understanding Open Ports in Android Applications: Discovery, Diagnosis, and Security Assessment NDSS '19 Daoyuan Wu, Debin Gao, Rocky K. C. Chang, En He, Eric K. T. Cheng, and Robert H. Deng In Proc. ISOC Network and Distributed System Security Symposium (NDSS), San Diego, USA, 2019. (AR = 89/521 = 17%)
P10	Towards Dynamically Monitoring Android Applications on Non-rooted Devices in the Wild WiSec '18 Xiaoxiao Tang, Yan Lin, Daoyuan Wu, and Debin Gao In Proc. ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec), Stockholm, Sweden, 2018. (AR = 28/78 = 35.9%)
P9	SCLib: A Practical and Lightweight Defense against Component Hijacking in Android Applications CODASPY '18 Daoyuan Wu, Yao Cheng, Debin Gao, Yingjiu Li, and Robert H. Deng In Proc. ACM Conference on Data and Applications Security and Privacy (CODASPY), Tempe, Arizona, USA, 2018. (8-page short paper)
P8	MopEye: Opportunistic Monitoring of Per-app Mobile Network Performance USENIX ATC '17 Daoyuan Wu, Rocky K. C. Chang, Weichao Li, Eric K. T. Cheng, and Debin Gao One of the 21 highly-ranked papers of ATC'17. It has enabled our IWQoS'19 and WiSec'18 papers, as well as an INFOCOM'19 paper from SJTU. In Proc. USENIX Annual Technical Conference (ATC), Santa Clara, USA, 2017. (An earlier poster version was published on December 1, 2015)
P7	Toward Accurate Network Delay Measurement on Android Phones TMC '17 Weichao Li, Daoyuan Wu, Rocky K. C. Chang, and Ricky K. P. Mok In IEEE Transactions on Mobile Computing, Volume: 17, Issue: 3, 2017. This work extends our INFOCOM'15 paper.
P6	Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps WASA '17 Daoyuan Wu, Ximing Liu, Jiayun Xu, David Lo, and Debin Gao It was originally a course project paper done by the first three authors in April 2016. The journal version has been accepted by EMSE. In Proc. Springer International Conference on Wireless Algorithms, Systems, and Applications (WASA), Guilin, China. (AR = 71/238 = 29.8%)
P5	Demystifying and Puncturing the Inflated Delay in Smartphone-based WiFi Network Measurement CoNEXT '16 Weichao Li, Daoyuan Wu, Rocky K. C. Chang, and Ricky K. P. Mok In Proc. ACM Conference on emerging Networking EXperiments and Technologies (CoNEXT), Irvine, California, USA. (AR = 36/196 = 18.4%)
P4	Stack Layout Randomization with Minimal Rewriting of Android Binaries ICISC '15 Yu Liang, Xinjie Ma, Daoyuan Wu, Xiaoxiao Tang, Debin Gao, Guojun Peng, Chunfu Jia, and Huanguo Zhang In Proc. Springer International Conference on Information Security and Cryptology (ICISC), Seoul, Korea. (AR = 23/84 = 27.4%)
P3	On the Accuracy of Smartphone-based Mobile Network Measurement INFOCOM '15 Weichao Li, Ricky K. P. Mok, Daoyuan Wu, and Rocky K. C. Chang In Proc. IEEE Conference on Computer Communications (INFOCOM), Hong Kong SAR, China. (AR = 316/1,640 = 19.3%)
P2	Indirect File Leaks in Mobile Applications MoST '15 Daoyuan Wu and Rocky K. C. Chang In Proc. IEEE Mobile Security Technologies (MoST), in conjunction with S&P 2015, San Jose, USA. (AR = 10/33 = 30.3%)
P1	Analyzing Android Browser Apps for file:// Vulnerabilities ISC '14 Daoyuan Wu and Rocky K. C. Chang Together with the MoST'15 work, we made a pioneer contribution to the Android and iOS WebView security. In Proc. Springer Information Security Conference (ISC), Hong Kong SAR, China. (Full paper AR = 20/106 = 18.9%)

Technical Reports

R13	API-guided Dataset Synthesis to Finetune Large Code Models arXiv '24 Zongjie Li, Daoyuan Wu, Shuai Wang, and Zhendong Su
R12	SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner arXiv '24 Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, and Juergen Rahmel This article completes its earlier vision paper.
R11	Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs arXiv '24 Zhenlan Ji, Daoyuan Wu, Pingchuan Ma, Zongjie Li, and Shuai Wang
R10	Benchmarking Multi-Modal LLMs for Testing Visual Deep Learning Systems Through the Lens of Image Mutation arXiv '24 Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, and Shuai Wang
R9	ACFix: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts arXiv '24 Lyuye Zhang, Kaixuan Li#, Kairan Sun, Daoyuan Wu*, Ye Liu, Haoye Tian, Yang Liu
R8	Pre-trained Model-based Actionable Warning Identification: A Feasibility Study arXiv '24 Xiuting Ge, Chunrong Fang, Quanjun Zhang, Daoyuan Wu, Bowen Yu, Qirui Zheng, An Guo, Shangwei Lin, Zhihong Zhao, Yang Liu, Zhenyu Chen
R7	LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper arXiv '24 Daoyuan Wu, Shuai Wang, Yang Liu, and Ning Liu
R6	LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning arXiv '24 Yuqiang Sun, Daoyuan Wu*, Yue Xue, Han Liu, Wei Ma, Lyuye Zhang, Yang Liu, and Yingjiu Li
R5	VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models arXiv '23 Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, and Cuiyun Gao
R4	iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition arXiv '22 Xu Yang, Daoyuan Wu*, Xiao Yi, Jimmy H. M. Lee, and Tan Lee This is a technical report from the Chinese University of Hong Kong.
R3	AGChain: A Blockchain-based Gateway for Permanent, Distributed, and Secure App Delegation from Existing Mobile App Markets arXiv '21 Mengjie Chen, Daoyuan Wu*, Xiao Yi, and Jianliang Xu We proposed the first decentralized and practical app market called AGChain, which works with existing app markets as well.
R2	MopEye: Monitoring Per-app Network Performance with Zero Measurement Traffic CoNEXT '15 Poster Daoyuan Wu, Weichao Li, Rocky K. C. Chang, and Debin Gao In Proc. ACM CoNEXT Student Workshop Poster, in conjunction with CoNEXT 2015, Heidelberg, Germany.
R1	A Sink-driven Approach to Detecting Exposed Component Vulnerabilities in Android Apps arXiv '14 Daoyuan Wu, Xiapu Luo, and Rocky K. C. Chang An old technical report in 2014. I don't have time to revise it anymore.

Invited Talks

T8	Discovering and Investigating Propagated Vulnerabilities from Ethereum to Its Layer-2 Blockchains HITBSecConf '24 In Hack In The Box SecConf, Bangkok, Thailand, 29-30 August 2024.
T7	构建基于大模型的智能漏洞审计引擎 AICon HK 2024 In City University of Hong Kong, 24 May 2024.
T6	Proof-of-Work vs. Proof-of-Stake: Insights into Fairness and Governance Sustainability from the Blockchain World Business Sustainability Conference '23 In Henry Cheng International Conference Centre, CUHK, 3 November 2023.
T5	Re-route Your Intent for Privilege Escalation: A Universal Way to Exploit Android PendingIntents in High-profile and System Apps Blackhat Europe '21 En He, Wenbo Chen, and Daoyuan Wu* In Blackhat Europe, London, UK, 10 November 2021.
T4	Leveraging Automatic Face Recognition for Online Exam Monitoring and Analysis CUHK Expo '21 In CUHK Teaching and Learning Innovation Expo, 29 July 2021.
T3	Boosting Android Security through App-, Network-, and System-level Vulnerability Analysis NJUPT Keynote '19 In the 3rd International Symposium on Big Data Security and Intelligent Processing, Nanjing, China, October 2019. Also in CUHK IE Seminar, Hong Kong SAR, March 2019 and in Wuhan University CSE Seminar, December 2019.
T2	Cross-Platform Analysis of Indirect File Leaks in Android and iOS Applications HitCon Pacific '17 In Hacks in Taiwan Conference Pacific, December 2017.
T1	On the Feasibility of Automatically Generating Android Component Hijacking Exploits HitCon '14 In Hacks in Taiwan Conference Community, August 2014.

Teaching

2025 Spring - COMP4541 Blockchain, Cryptocurrencies and Smart Contracts: to teach at HKUST in February 2025.

2022 Fall - IEMS5710 Cryptography, Information Security and Privacy: homepage (only in CUHK) and mirror website (public).

2021 Fall - IERG4130 Introduction to Cyber Security: homepage (only in CUHK) and mirror website (public).

Received the Best Teaching Award of the MScIE Programme 2020-2021.

2021 Spring - IEMS5722 Mobile Network Programming and Distributed Server Architecture: homepage and mirror website.

2020 Fall - IEMS5710 Cryptography, Information Security and Privacy: homepage (only in CUHK) and mirror website (public).

2019 Fall - IEMS5710 Cryptography, Information Security and Privacy: homepage (only in CUHK) and mirror website (public).

Team

PhD Students:

Officially advised: Dr. Xiao Yi (2019 - 2023 at CUHK; First job: researcher at Huawei Hong Kong Research Centre).
Unofficially co-advised: Dr. Han Liu (Apr 2023 - Jun 2024 at NTU; First job: postdoc at HKUST).
Unofficially co-advising: Zicheng Zhang (at SMU since Apr 2020, with gap years), Yuqiang Sun (at NTU since Mar 2023), and a group of PhD students at HKUST Cybersecurity Labs.

Research Assistants:

Juantao Zhong (at Shenzhen Research Institute since Aug/Sep 2024), Yufan Chen (at SMU since Oct 2023, with gap months; co-advised with Prof. Debin Gao, Prof. Yingjiu Li, and Prof. Shuai Wang), Ziyu Lin (at SMU since June 2024, co-advised with Prof. Ximeng Liu and Prof. Robert Deng), and Kaiwen Yang (at HKUST since Jul 2024, co-advised with Prof. Shuai Wang).
Senior Security Expert: Yue Xue (Apr 2023 - Apr 2024 at MetaTrust Labs, still co-advising with Prof. Yang Liu; Next: OKX).
Yuzhou Fang (2021 - 2022 at CUHK; Next: PhD student at USC), Mengjie Chen (2020 - 2021 at CUHK; Next: Mask Network).

Undergraduate Students:

Zimo Ji (at HKUST since May 2024, co-advised with Prof. Shuai Wang).
Yufan Chen (2021 - 2022 at Xidian; Next: SMU), Xu Yang (2021 - 2022 at CUHK; Next: ASTRI).
Four FYP students at CUHK and One at HKUST currently.

MSc Students (at CUHK):

2019 - 2020: Mengjie Chen (arXiv'21; Next: CUHK), Lixiang Li (RAID'21; Next: miHoYo), Ming Fang (helped EuroS&P'24; Next: Alibaba), Weiyan Xiong (helped FSE'22; Next: SAP China).
2020 - 2021: Yan Wu (EuroS&P'24; Next: Morgan Stanley China), Siqin Li (explored FPS security).
2021 - 2022: Lu Zhang (helped MagicCrypto; Next: OKX Hong Kong).

Professional Services

Conference Program Committee:

CCS 2025 (Blockchain track), USENIX Security 2025, NDSS 2025, ISSTA 2025, ICSE 2025, CCS 2024 (Software track), ACSAC 2024, RAID 2024, AsiaCCS 2024, ICICS 2024, RAID 2023, ICICS 2023, ICICS 2021, and NOMS 2018.

Conference Shepherd:

NDSS 2025 (for this paper), CCS 2024 (for this paper), RAID 2023 (for this paper), and ICICS 2021 (for this paper).

Workshop Program Committee:

SVM 2025 (co-located with ICSE 2025) and AISTA 2024 (co-located with ISSRE 2024).

Journal Reviewer:

ACM Transactions on Privacy and Security, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Mobile Computing, Journal of Systems and Software, Journal of Information Security and Applications, IEEE Systems Journal, Cybersecurity, and etc.

Useful Links

My calendar of security conferences: academia and industry. Recently used: CCF Conference Deadlines.

I am maintaining a list of interesting computer security papers and a list of mobile app related software engineering papers.

Security Journals: TIFS (special issues), TDSC (special issues), Computers & Security (special issues), TISSEC and JCS.

Network Journals: TON, JSAC, TMC.

PolyU's Corpus of Research Articles

The Elements of Style (by Strunk and White)

Writing a technical paper (by Michael Ernst)

Storytelling 101: Writing Tips for Academics (by Nick Feamster)

Computer Security Conference Ranking and Statistic (by Guofei Gu)

Top Crypto and Security Conferences Ranking (by Jianying Zhou)

Top Publication Venues in Computer Science (by Andrew Myers)

ArnetMiner CS Rank: conference rank and organization rank.

CCF Conference and Journal Rankings: Security, Networking, System, and Software Engineering.

Google Scholar Metrics in Computer Security, Computing Systems, Computer Networks, and Software Systems.

Industry Cybersecurity Conference Directory, SKKU seclab | Upcoming Events, and Cipher Call-for-papers.

Daoyuan Wu Research Assistant Professor

Research Areas

Publications

Published Papers

PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation NDSS '25

Testing and Understanding Deviation Behaviors in FHE-hardened Machine Learning Models ICSE '25

Combining Fine-tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications ICSE '25

Split and Merge: Aligning Position Biases in LLM-based Evaluators EMNLP '24 Main

Machine Learning for Actionable Warning Identification: A Comprehensive Survey CSUR '24

Using My Functions Should Follow My Checks: Understanding and Detecting Insecure OpenZeppelin Code in Smart Contracts USENIX Security '24

MtdScout: Complementing the Identification of Insecure Methods in Android Apps via Source-to-Bytecode Signature Generation and Tree-based Layered Search EuroS&P '24

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis ICSE '24

On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study ICSE '24

Beyond “Protected” and “Private”: An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts ISSTA '23

BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects NDSS '23

An Empirical Study of Blockchain System Vulnerabilities: Modules, Types, and Patterns FSE '22

LiCA: A Fine-grained and Path-sensitive Linux Capability Analysis Framework RAID '22

On the Usability (In)Security of In-App Browsing Interfaces in Mobile Apps RAID '21

When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid DSN '21

Active Warden Attack: On the (In)Effectiveness of Android App Repackage-Proofing TDSC '21

Deep-Learning-Based App Sensitive Behavior Surveillance for Android Powered Cyber-Physical Systems TII '21

Scalable Online Vetting of Android Apps for Measuring Declared SDK Versions and Their Consistency with API Calls EMSE '21

Understanding Android VoIP Security: A System-level Vulnerability Assessment DIMVA '20

Towards Understanding Android System Vulnerabilities: Techniques and Insights AsiaCCS '19

An Empirical Study of Mobile Network Behavior and Application Performance in the Wild IWQoS '19

Understanding Open Ports in Android Applications: Discovery, Diagnosis, and Security Assessment NDSS '19

Towards Dynamically Monitoring Android Applications on Non-rooted Devices in the Wild WiSec '18

SCLib: A Practical and Lightweight Defense against Component Hijacking in Android Applications CODASPY '18

MopEye: Opportunistic Monitoring of Per-app Mobile Network Performance USENIX ATC '17

Toward Accurate Network Delay Measurement on Android Phones TMC '17

Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps WASA '17

Demystifying and Puncturing the Inflated Delay in Smartphone-based WiFi Network Measurement CoNEXT '16

Stack Layout Randomization with Minimal Rewriting of Android Binaries ICISC '15

On the Accuracy of Smartphone-based Mobile Network Measurement INFOCOM '15

Indirect File Leaks in Mobile Applications MoST '15

Analyzing Android Browser Apps for file:// Vulnerabilities ISC '14

Technical Reports

API-guided Dataset Synthesis to Finetune Large Code Models arXiv '24

SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner arXiv '24

Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs arXiv '24

Benchmarking Multi-Modal LLMs for Testing Visual Deep Learning Systems Through the Lens of Image Mutation arXiv '24

ACFix: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts arXiv '24

Pre-trained Model-based Actionable Warning Identification: A Feasibility Study arXiv '24

LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper arXiv '24

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning arXiv '24

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models arXiv '23

iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition arXiv '22

AGChain: A Blockchain-based Gateway for Permanent, Distributed, and Secure App Delegation from Existing Mobile App Markets arXiv '21

MopEye: Monitoring Per-app Network Performance with Zero Measurement Traffic CoNEXT '15 Poster

A Sink-driven Approach to Detecting Exposed Component Vulnerabilities in Android Apps arXiv '14

Invited Talks

Discovering and Investigating Propagated Vulnerabilities from Ethereum to Its Layer-2 Blockchains HITBSecConf '24

构建基于大模型的智能漏洞审计引擎 AICon HK 2024

Proof-of-Work vs. Proof-of-Stake: Insights into Fairness and Governance Sustainability from the Blockchain World Business Sustainability Conference '23

Re-route Your Intent for Privilege Escalation: A Universal Way to Exploit Android PendingIntents in High-profile and System Apps Blackhat Europe '21

Leveraging Automatic Face Recognition for Online Exam Monitoring and Analysis CUHK Expo '21

Boosting Android Security through App-, Network-, and System-level Vulnerability Analysis NJUPT Keynote '19

Cross-Platform Analysis of Indirect File Leaks in Android and iOS Applications HitCon Pacific '17

On the Feasibility of Automatically Generating Android Component Hijacking Exploits HitCon '14