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2020 – today
- 2025
[j10]Xiuting Ge
, Chunrong Fang, Xuanye Li, Weisong Sun, Daoyuan Wu, Juan Zhai, Shang-Wei Lin, Zhihong Zhao, Yang Liu, Zhenyu Chen:
Machine Learning for Actionable Warning Identification: A Comprehensive Survey. ACM Comput. Surv. 57(2): 39:1-39:35 (2025)- [j9]Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su:
API-Guided Dataset Synthesis to Finetune Large Code Models. Proc. ACM Program. Lang. 9(OOPSLA1): 786-815 (2025) - [j8]Dongwei Xiao, Shuai Wang, Zhibo Liu, Yiteng Peng, Daoyuan Wu, Zhendong Su:
Divergence-Aware Testing of Graphics Shader Compiler Back-Ends. Proc. ACM Program. Lang. 9(PLDI): 1367-1391 (2025) - [j7]Wai Kin Wong, Daoyuan Wu, Huaijin Wang, Zongjie Li, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
DecLLM: LLM-Augmented Recompilable Decompilation for Enabling Programmatic Use of Decompiled Code. Proc. ACM Softw. Eng. 2(ISSTA): 1841-1864 (2025) - [j6]Lyuye Zhang, Kaixuan Li, Kairan Sun, Daoyuan Wu, Ye Liu, Haoye Tian, Yang Liu:
ACFix: Guiding LLMs With Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts. IEEE Trans. Software Eng. 51(9): 2512-2532 (2025) - [j5]Zhiyuan Wei, Jing Sun, Yuqiang Sun, Ye Liu, Daoyuan Wu, Zijian Zhang, Xianhao Zhang, Meng Li, Yang Liu, Chunmiao Li, Mingchao Wan, Jin Dong, Liehuang Zhu:
Advanced Smart Contract Vulnerability Detection via LLM-Powered Multi-Agent Systems. IEEE Trans. Software Eng. 51(10): 2830-2846 (2025) - [c31]Zimo Ji, Daoyuan Wu, Wenyuan Jiang, Pingchuan Ma, Zongjie Li, Shuai Wang:
Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges. CCS 2025: 603-617 - [c30]Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su:
Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs. CCS 2025: 3071-3085 - [c29]Yiteng Peng, Dongwei Xiao, Zhibo Liu, Zhenlan Ji, Daoyuan Wu, Shuai Wang, Juergen Rahmel:
The Phantom Menace in Crypto-Based PET-Hardened Deep Learning Models: Invisible Configuration-Induced Attacks. CCS 2025: 4379-4393 - [c28]Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, Yang Liu:
Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications. ICSE 2025: 1742-1754 - [c27]Yiteng Peng, Daoyuan Wu, Zhibo Liu, Dongwei Xiao, Zhenlan Ji, Juergen Rahmel, Shuai Wang:
Testing and Understanding Deviation Behaviors in FHE-Hardened Machine Learning Models. ICSE 2025: 2251-2263 - [c26]Ye Liu, Yue Xue, Daoyuan Wu, Yuqiang Sun, Yi Li, Miaolei Shi, Yang Liu:
PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation. NDSS 2025 - [c25]Jiaming Yuan, Yingjiu Li, Jun Li, Daoyuan Wu, Jianting Ning, Yangguang Tian, Robert H. Deng:
Leakage-Resilient Easily Deployable and Efficiently Searchable Encryption (EDESE). SACMAT 2025: 133-144 - [c24]Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, Juergen Rahmel:
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner. USENIX Security Symposium 2025: 2441-2460 - [c23]Kunpeng Zhang, Zongjie Li, Daoyuan Wu, Shuai Wang, Xin Xia:
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators. USENIX Security Symposium 2025: 6999-7018 - [i44]Kunpeng Zhang, Zongjie Li, Daoyuan Wu, Shuai Wang, Xin Xia:
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators. CoRR abs/2501.19282 (2025) - [i43]Juantao Zhong, Daoyuan Wu, Ye Liu, Maoyi Xie, Yang Liu, Yi Li, Ning Liu:
DeFiScope: Detecting Various DeFi Price Manipulations with LLM Reasoning. CoRR abs/2502.11521 (2025) - [i42]Ruixuan Huang, Xunguang Wang, Zongjie Li, Daoyuan Wu, Shuai Wang:
GuidedBench: Equipping Jailbreak Evaluation with Guidelines. CoRR abs/2502.16903 (2025) - [i41]Xunguang Wang, Wenxuan Wang, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang:
STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models. CoRR abs/2503.17932 (2025) - [i40]Qingyue Wang, Qi Pang, Xixun Lin, Shuai Wang, Daoyuan Wu:
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts. CoRR abs/2504.18598 (2025) - [i39]Liwen Wang, Wenxuan Wang, Shuai Wang, Zongjie Li, Zhenlan Ji, Zongyi Lyu, Daoyuan Wu, Shing-Chi Cheung:
IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems. CoRR abs/2505.12442 (2025) - [i38]Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang:
SoK: Evaluating Jailbreak Guardrails for Large Language Models. CoRR abs/2506.10597 (2025) - [i37]Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su:
Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs. CoRR abs/2506.17353 (2025) - [i36]Zimo Ji, Daoyuan Wu, Wenyuan Jiang, Pingchuan Ma, Zongjie Li, Shuai Wang:
Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges. CoRR abs/2506.17644 (2025) - [i35]Yufan Chen, Daoyuan Wu, Juantao Zhong, Zicheng Zhang, Debin Gao, Shuai Wang, Yingjiu Li, Ning Liu:
Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG. CoRR abs/2507.04055 (2025) - [i34]Yixuan Yang, Daoyuan Wu, Yufan Chen:
MCPSecBench: A Systematic Security Benchmark and Playground for Testing Model Context Protocols. CoRR abs/2508.13220 (2025) - [i33]Zhenlan Ji, Daoyuan Wu, Wenxuan Wang, Pingchuan Ma, Shuai Wang, Lei Ma:
Digging Into the Internal: Causality-Based Analysis of LLM Function Calling. CoRR abs/2509.16268 (2025) - [i32]Zongyi Lyu, Songqiang Chen, Zhenlan Ji, Liwen Wang, Shuai Wang, Daoyuan Wu, Wenxuan Wang, Shing-Chi Cheung:
Testing and Enhancing Multi-Agent Systems for Robust Code Generation. CoRR abs/2510.10460 (2025) - [i31]Chong Chen, Ze Liu, Lingfeng Bao, Yanlin Wang, Ting Chen, Daoyuan Wu, Jiachi Chen:
Coinvisor: An RL-Enhanced Chatbot Agent for Interactive Cryptocurrency Investment Analysis. CoRR abs/2510.17235 (2025) - 2024
- [c22]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu:
Split and Merge: Aligning Position Biases in LLM-based Evaluators. EMNLP 2024: 11084-11108 - [c21]Zicheng Zhang, Haoyu Ma, Daoyuan Wu, Debin Gao, Xiao Yi, Yufan Chen, Yan Wu, Lingxiao Jiang:
MtdScout: Complementing the Identification of Insecure Methods in Android Apps via Source-to-Bytecode Signature Generation and Tree-based Layered Search. EuroS&P 2024: 724-740 - [c20]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu:
On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. ICSE 2024: 74:1-74:13 - [c19]Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, Yang Liu:
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis. ICSE 2024: 166:1-166:13 - [c18]Han Liu, Daoyuan Wu, Yuqiang Sun, Haijun Wang, Kaixuan Li, Yang Liu, Yixiang Chen:
Using My Functions Should Follow My Checks: Understanding and Detecting Insecure OpenZeppelin Code in Smart Contracts. USENIX Security Symposium 2024 - [i30]Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Wei Ma, Lyuye Zhang, Miaolei Shi, Yang Liu:
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning. CoRR abs/2401.16185 (2024) - [i29]Daoyuan Wu, Shuai Wang, Yang Liu, Ning Liu:
LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper. CoRR abs/2402.15727 (2024) - [i28]Xiuting Ge, Chunrong Fang, Quanjun Zhang, Daoyuan Wu, Bowen Yu, Qirui Zheng, An Guo, Shangwei Lin, Zhihong Zhao, Yang Liu, Zhenyu Chen:
Pre-trained Model-based Actionable Warning Identification: A Feasibility Study. CoRR abs/2403.02716 (2024) - [i27]Lyuye Zhang, Kaixuan Li, Kairan Sun, Daoyuan Wu, Ye Liu, Haoye Tian, Yang Liu:
ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts. CoRR abs/2403.06838 (2024) - [i26]Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, Yang Liu:
Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications. CoRR abs/2403.16073 (2024) - [i25]Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang:
How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation. CoRR abs/2404.13945 (2024) - [i24]Zhenlan Ji, Daoyuan Wu, Pingchuan Ma, Zongjie Li, Shuai Wang:
Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs. CoRR abs/2404.17833 (2024) - [i23]Ye Liu, Yue Xue, Daoyuan Wu, Yuqiang Sun, Yi Li, Miaolei Shi, Yang Liu:
PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation. CoRR abs/2405.02580 (2024) - [i22]Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, Juergen Rahmel:
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner. CoRR abs/2406.05498 (2024) - [i21]Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su:
API-guided Dataset Synthesis to Finetune Large Code Models. CoRR abs/2408.08343 (2024) - 2023
- [c17]Yuzhou Fang, Daoyuan Wu, Xiao Yi, Shuai Wang, Yufan Chen, Mengjie Chen, Yang Liu, Lingxiao Jiang:
Beyond "Protected" and "Private": An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts. ISSTA 2023: 1157-1168 - [c16]Xiao Yi, Yuzhou Fang, Daoyuan Wu, Lingxiao Jiang:
BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects. NDSS 2023 - [i20]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao:
On the Feasibility of Specialized Ability Extracting for Large Language Code Models. CoRR abs/2303.03012 (2023) - [i19]Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, Yang Liu:
When GPT Meets Program Analysis: Towards Intelligent Detection of Smart Contract Logic Vulnerabilities in GPTScan. CoRR abs/2308.03314 (2023) - [i18]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu:
Split and Merge: Aligning Position Biases in Large Language Model based Evaluators. CoRR abs/2310.01432 (2023) - [i17]Xiuting Ge, Chunrong Fang, Xuanye Li, Weisong Sun, Daoyuan Wu, Juan Zhai, Shangwei Lin, Zhihong Zhao, Yang Liu, Zhenyu Chen:
Machine Learning for Actionable Warning Identification: A Comprehensive Survey. CoRR abs/2312.00324 (2023) - [i16]Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao:
VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. CoRR abs/2312.04087 (2023) - 2022
- [j4]Haoyu Ma, Shijia Li, Debin Gao, Daoyuan Wu, Qiaowen Jia, Chunfu Jia:
Active Warden Attack: On the (In)Effectiveness of Android App Repackage-Proofing. IEEE Trans. Dependable Secur. Comput. 19(5): 3508-3520 (2022) - [c15]Menghan Sun, Zirui Song, Xiaoxi Ren, Daoyuan Wu, Kehuan Zhang:
LiCA: A Fine-grained and Path-sensitive Linux Capability Analysis Framework. RAID 2022: 364-379 - [c14]Xiao Yi, Daoyuan Wu, Lingxiao Jiang, Yuzhou Fang, Kehuan Zhang, Wei Zhang:
An empirical study of blockchain system vulnerabilities: modules, types, and patterns. ESEC/SIGSOFT FSE 2022: 709-721 - [i15]Xu Yang, Daoyuan Wu, Xiao Yi, Jimmy H. M. Lee, Tan Lee:
iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition. CoRR abs/2206.13356 (2022) - [i14]Xiao Yi, Yuzhou Fang, Daoyuan Wu, Lingxiao Jiang:
BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects. CoRR abs/2208.00205 (2022) - [i13]Zicheng Zhang, Daoyuan Wu, Lixiang Li, Debin Gao:
On the Usability (In)Security of In-App Browsing Interfaces in Mobile Apps. CoRR abs/2209.01568 (2022) - 2021
- [j3]Daoyuan Wu, Debin Gao, David Lo:
Scalable online vetting of Android apps for measuring declared SDK versions and their consistency with API calls. Empir. Softw. Eng. 26(1): 7 (2021) - [j2]Haoyu Ma, Jianwen Tian, Kefan Qiu, David Lo, Debin Gao, Daoyuan Wu, Chunfu Jia, Thar Baker:
Deep-Learning-Based App Sensitive Behavior Surveillance for Android Powered Cyber-Physical Systems. IEEE Trans. Ind. Informatics 17(8): 5840-5850 (2021) - [c13]Daoyuan Wu, Debin Gao, Robert H. Deng, Rocky K. C. Chang:
When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid. DSN 2021: 543-554 - [i12]Mengjie Chen, Daoyuan Wu, Xiao Yi, Jianliang Xu:
AGChain: A Blockchain-based Gateway for Permanent, Distributed, and Secure App Delegation from Existing Mobile App Markets. CoRR abs/2101.06454 (2021) - [i11]Xiao Yi, Daoyuan Wu, Lingxiao Jiang, Kehuan Zhang, Wei Zhang:
Diving Into Blockchain's Weaknesses: An Empirical Study of Blockchain System Vulnerabilities. CoRR abs/2110.12162 (2021) - 2020
- [c12]En He, Daoyuan Wu, Robert H. Deng:
Understanding Android VoIP Security: A System-Level Vulnerability Assessment. DIMVA 2020: 110-131 - [i10]Daoyuan Wu, Debin Gao, Robert H. Deng, Rocky K. C. Chang:
When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid. CoRR abs/2005.11527 (2020)
2010 – 2019
- 2019
- [c11]Daoyuan Wu, Debin Gao, Eric K. T. Cheng, Yichen Cao, Jintao Jiang, Robert H. Deng:
Towards Understanding Android System Vulnerabilities: Techniques and Insights. AsiaCCS 2019: 295-306 - [c10]Shiwei Zhang, Weichao Li, Daoyuan Wu, Bo Jin, Rocky K. C. Chang, Debin Gao, Yi Wang, Ricky K. P. Mok:
An empirical study of mobile network behavior and application performance in the wild. IWQoS 2019: 4:1-4:10 - [c9]Daoyuan Wu, Debin Gao, Rocky K. C. Chang, En He, Eric K. T. Cheng, Robert H. Deng:
Understanding Open Ports in Android Applications: Discovery, Diagnosis, and Security Assessment. NDSS 2019 - [i9]Daoyuan Wu, Debin Gao, David Lo:
Scalable Online Vetting of Android Apps for Measuring Declared SDK Versions and Their Consistency with API Calls. CoRR abs/1912.12982 (2019) - 2018
- [j1]Weichao Li, Daoyuan Wu, Rocky K. C. Chang, Ricky K. P. Mok:
Toward Accurate Network Delay Measurement on Android Phones. IEEE Trans. Mob. Comput. 17(3): 717-732 (2018) - [c8]Daoyuan Wu, Yao Cheng, Debin Gao, Yingjiu Li, Robert H. Deng:
SCLib: A Practical and Lightweight Defense against Component Hijacking in Android Applications. CODASPY 2018: 299-306 - [c7]Xiaoxiao Tang, Yan Lin, Daoyuan Wu, Debin Gao:
Towards Dynamically Monitoring Android Applications on Non-rooted Devices in the Wild. WISEC 2018: 212-223 - [i8]Daoyuan Wu, Yao Cheng, Debin Gao, Yingjiu Li, Robert H. Deng:
SCLib: A Practical and Lightweight Defense against Component Hijacking in Android Applications. CoRR abs/1801.04372 (2018) - 2017
- [c6]Daoyuan Wu, Rocky K. C. Chang, Weichao Li, Eric K. T. Cheng, Debin Gao:
MopEye: Opportunistic Monitoring of Per-app Mobile Network Performance. USENIX ATC 2017: 445-457 - [c5]Daoyuan Wu, Ximing Liu, Jiayun Xu, David Lo, Debin Gao:
Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps. WASA 2017: 678-690 - [i7]Daoyuan Wu, Ximing Liu, Jiayun Xu, David Lo, Debin Gao:
Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps. CoRR abs/1702.04872 (2017) - [i6]Daoyuan Wu, Rocky K. C. Chang, Weichao Li, Eric K. T. Cheng, Debin Gao:
MopEye: Opportunistic Monitoring of Per-app Mobile Network Performance. CoRR abs/1703.07551 (2017) - 2016
- [c4]Weichao Li, Daoyuan Wu, Rocky K. C. Chang, Ricky K. P. Mok:
Demystifying and Puncturing the Inflated Delay in Smartphone-based WiFi Network Measurement. CoNEXT 2016: 497-504 - [i5]Daoyuan Wu, Debin Gao, Yingjiu Li, Robert H. Deng:
SecComp: Towards Practically Defending Against Component Hijacking in Android Applications. CoRR abs/1609.03322 (2016) - [i4]Daoyuan Wu, Weichao Li, Rocky K. C. Chang, Debin Gao:
MopEye: Monitoring Per-app Network Performance with Zero Measurement Traffic. CoRR abs/1610.01282 (2016) - 2015
- [c3]Yu Liang, Xinjie Ma, Daoyuan Wu, Xiaoxiao Tang, Debin Gao, Guojun Peng, Chunfu Jia, Huanguo Zhang:
Stack Layout Randomization with Minimal Rewriting of Android Binaries. ICISC 2015: 229-245 - [c2]Weichao Li, Ricky K. P. Mok, Daoyuan Wu, Rocky K. C. Chang:
On the accuracy of smartphone-based mobile network measurement. INFOCOM 2015: 370-378 - [i3]Daoyuan Wu, Rocky K. C. Chang:
Indirect File Leaks in Mobile Applications. CoRR abs/1511.00104 (2015) - 2014
- [c1]Daoyuan Wu, Rocky K. C. Chang:
Analyzing Android Browser Apps for file: // Vulnerabilities. ISC 2014: 345-363 - [i2]Daoyuan Wu, Rocky K. C. Chang:
Analyzing Android Browser Apps for file: // Vulnerabilities. CoRR abs/1404.4553 (2014) - [i1]Daoyuan Wu, Xiapu Luo, Rocky K. C. Chang:
A Sink-driven Approach to Detecting Exposed Component Vulnerabilities in Android Apps. CoRR abs/1405.6282 (2014)
Coauthor Index
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