Analyzing Android Browser Apps for file: // Vulnerabilities. - Daoyuan Wu; Rocky K. C. Chang (ISC, 2014)

A Sink-driven Approach to Detecting Exposed Component Vulnerabilities in Android Apps. - Daoyuan Wu; Xiapu Luo; Rocky K. C. Chang (CoRR, 2014)

Stack Layout Randomization with Minimal Rewriting of Android Binaries. - Yu Liang; Xinjie Ma; Daoyuan Wu; Xiaoxiao Tang; Debin Gao; Guojun Peng; Chunfu Jia; Huanguo Zhang (ICISC, 2015)

On the accuracy of smartphone-based mobile network measurement. - Weichao Li 001; Ricky K. P. Mok; Daoyuan Wu; Rocky K. C. Chang (INFOCOM, 2015)

Indirect File Leaks in Mobile Applications. - Daoyuan Wu; Rocky K. C. Chang (CoRR, 2015)

Demystifying and Puncturing the Inflated Delay in Smartphone-based WiFi Network Measurement. - Weichao Li 001; Daoyuan Wu; Rocky K. C. Chang; Ricky K. P. Mok (CoNEXT, 2016)

SecComp: Towards Practically Defending Against Component Hijacking in Android Applications. - Daoyuan Wu; Debin Gao; Yingjiu Li; Robert H. Deng (CoRR, 2016)

MopEye: Monitoring Per-app Network Performance with Zero Measurement Traffic. - Daoyuan Wu; Weichao Li 001; Rocky K. C. Chang; Debin Gao (CoRR, 2016)

MopEye: Opportunistic Monitoring of Per-app Mobile Network Performance. - Daoyuan Wu; Rocky K. C. Chang; Weichao Li 001; Eric K. T. Cheng; Debin Gao (USENIX ATC, 2017)

Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps. - Daoyuan Wu; Ximing Liu; Jiayun Xu; David Lo 001; Debin Gao (WASA, 2017)

SCLib: A Practical and Lightweight Defense against Component Hijacking in Android Applications. - Daoyuan Wu; Yao Cheng; Debin Gao; Yingjiu Li; Robert H. Deng (CODASPY, 2018)

Towards Dynamically Monitoring Android Applications on Non-rooted Devices in the Wild. - Xiaoxiao Tang; Yan Lin 003; Daoyuan Wu; Debin Gao (WISEC, 2018)

Toward Accurate Network Delay Measurement on Android Phones. - Weichao Li 001; Daoyuan Wu; Rocky K. C. Chang; Ricky K. P. Mok (IEEE Trans. Mob. Comput., 2018)

Towards Understanding Android System Vulnerabilities: Techniques and Insights. - Daoyuan Wu; Debin Gao; Eric K. T. Cheng; Yichen Cao; Jintao Jiang; Robert H. Deng (AsiaCCS, 2019)

An empirical study of mobile network behavior and application performance in the wild. - Shiwei Zhang; Weichao Li 001; Daoyuan Wu; Bo Jin 002; Rocky K. C. Chang; Debin Gao; Yi Wang 004; Ricky K. P. Mok (IWQoS, 2019)

Understanding Open Ports in Android Applications: Discovery, Diagnosis, and Security Assessment. - Daoyuan Wu; Debin Gao; Rocky K. C. Chang; En He; Eric K. T. Cheng; Robert H. Deng (NDSS, 2019)

Understanding Android VoIP Security: A System-Level Vulnerability Assessment. - En He; Daoyuan Wu; Robert H. Deng (DIMVA, 2020)

When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid. - Daoyuan Wu; Debin Gao; Robert H. Deng; Rocky K. C. Chang (DSN, 2021)

AGChain: A Blockchain-based Gateway for Permanent, Distributed, and Secure App Delegation from Existing Mobile App Markets. - Mengjie Chen; Daoyuan Wu; Xiao Yi; Jianliang Xu (CoRR, 2021)

Diving Into Blockchain's Weaknesses: An Empirical Study of Blockchain System Vulnerabilities. - Xiao Yi; Daoyuan Wu; Lingxiao Jiang; Kehuan Zhang; Wei Zhang 122 (CoRR, 2021)

Scalable online vetting of Android apps for measuring declared SDK versions and their consistency with API calls. - Daoyuan Wu; Debin Gao; David Lo 001 (Empir. Softw. Eng., 2021)

Deep-Learning-Based App Sensitive Behavior Surveillance for Android Powered Cyber-Physical Systems. - Haoyu Ma; Jianwen Tian; Kefan Qiu; David Lo 001; Debin Gao; Daoyuan Wu; Chunfu Jia; Thar Baker (IEEE Trans. Ind. Informatics, 2021)

LiCA: A Fine-grained and Path-sensitive Linux Capability Analysis Framework. - Menghan Sun; Zirui Song; Xiaoxi Ren; Daoyuan Wu; Kehuan Zhang (RAID, 2022)

An empirical study of blockchain system vulnerabilities: modules, types, and patterns. - Xiao Yi; Daoyuan Wu; Lingxiao Jiang; Yuzhou Fang; Kehuan Zhang; Wei Zhang 122 (ESEC/SIGSOFT FSE, 2022)

iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition. - Xu Yang; Daoyuan Wu; Xiao Yi; Jimmy H. M. Lee; Tan Lee 001 (CoRR, 2022)

On the Usability (In)Security of In-App Browsing Interfaces in Mobile Apps. - Zicheng Zhang; Daoyuan Wu; Lixiang Li 004; Debin Gao (CoRR, 2022)

Active Warden Attack: On the (In)Effectiveness of Android App Repackage-Proofing. - Haoyu Ma; Shijia Li; Debin Gao; Daoyuan Wu; Qiaowen Jia; Chunfu Jia (IEEE Trans. Dependable Secur. Comput., 2022)

Beyond "Protected" and "Private": An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts. - Yuzhou Fang; Daoyuan Wu; Xiao Yi; Shuai Wang 011; Yufan Chen; Mengjie Chen; Yang Liu 003; Lingxiao Jiang (ISSTA, 2023)

BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects. - Xiao Yi; Yuzhou Fang; Daoyuan Wu; Lingxiao Jiang (NDSS, 2023)

On the Feasibility of Specialized Ability Extracting for Large Language Code Models. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Chaowei Liu; Shuai Wang 011; Daoyuan Wu; Cuiyun Gao 001 (CoRR, 2023)

When GPT Meets Program Analysis: Towards Intelligent Detection of Smart Contract Logic Vulnerabilities in GPTScan. - Yuqiang Sun 001; Daoyuan Wu; Yue Xue; Han Liu 012; Haijun Wang 002; Zhengzi Xu; Xiaofei Xie; Yang Liu 003 (CoRR, 2023)

Split and Merge: Aligning Position Biases in Large Language Model based Evaluators. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011; Cuiyun Gao 001; Yang Liu 003 (CoRR, 2023)

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. - Zongjie Li; Chaozheng Wang; Chaowei Liu; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011; Cuiyun Gao 001 (CoRR, 2023)

Split and Merge: Aligning Position Biases in LLM-based Evaluators. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011; Cuiyun Gao 001; Yang Liu 003 (EMNLP, 2024)

MtdScout: Complementing the Identification of Insecure Methods in Android Apps via Source-to-Bytecode Signature Generation and Tree-based Layered Search. - Zicheng Zhang; Haoyu Ma; Daoyuan Wu; Debin Gao; Xiao Yi; Yufan Chen; Yan Wu; Lingxiao Jiang (EuroS&P, 2024)

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis. - Yuqiang Sun 001; Daoyuan Wu; Yue Xue; Han Liu 012; Haijun Wang 002; Zhengzi Xu; Xiaofei Xie; Yang Liu 003 (ICSE, 2024)

On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Chaowei Liu; Shuai Wang 011; Daoyuan Wu; Cuiyun Gao 001; Yang Liu 003 (ICSE, 2024)

Using My Functions Should Follow My Checks: Understanding and Detecting Insecure OpenZeppelin Code in Smart Contracts. - Han Liu 012; Daoyuan Wu; Yuqiang Sun 001; Haijun Wang 002; Kaixuan Li 002; Yang Liu 003; Yixiang Chen 001 (USENIX Security Symposium, 2024)

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning. - Yuqiang Sun 001; Daoyuan Wu; Yue Xue; Han Liu 012; Wei Ma; Lyuye Zhang; Miaolei Shi; Yang Liu 003 (CoRR, 2024)

LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper. - Daoyuan Wu; Shuai Wang 011; Yang Liu 003; Ning Liu (CoRR, 2024)

Pre-trained Model-based Actionable Warning Identification: A Feasibility Study. - Xiuting Ge; Chunrong Fang; Quanjun Zhang; Daoyuan Wu; Bowen Yu; Qirui Zheng; An Guo 002; Shangwei Lin 001; Zhihong Zhao; Yang Liu 003; Zhenyu Chen 001 (CoRR, 2024)

ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts. - Lyuye Zhang; Kaixuan Li 002; Kairan Sun; Daoyuan Wu; Ye Liu 012; Haoye Tian; Yang Liu 003 (CoRR, 2024)

How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation. - Liwen Wang; Yuanyuan Yuan; Ao Sun; Zongjie Li; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011 (CoRR, 2024)

Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs. - Zhenlan Ji; Daoyuan Wu; Pingchuan Ma 004; Zongjie Li; Shuai Wang 011 (CoRR, 2024)

SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner. - Xunguang Wang; Daoyuan Wu; Zhenlan Ji; Zongjie Li; Pingchuan Ma 004; Shuai Wang 011; Yingjiu Li; Yang Liu 003; Ning Liu; Juergen Rahmel (CoRR, 2024)

Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications. - Wei Ma; Daoyuan Wu; Yuqiang Sun 001; Tianwen Wang; Shangqing Liu; Jian Zhang 087; Yue Xue; Yang Liu 003 (ICSE, 2025)

Testing and Understanding Deviation Behaviors in FHE-Hardened Machine Learning Models. - Yiteng Peng; Daoyuan Wu; Zhibo Liu; Dongwei Xiao; Zhenlan Ji; Juergen Rahmel; Shuai Wang 011 (ICSE, 2025)

PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation. - Ye Liu 012; Yue Xue; Daoyuan Wu; Yuqiang Sun 001; Yi Li 008; Miaolei Shi; Yang Liu 003 (NDSS, 2025)

Leakage-Resilient Easily Deployable and Efficiently Searchable Encryption (EDESE). - Jiaming Yuan; Yingjiu Li; Jun Li 001; Daoyuan Wu; Jianting Ning; Yangguang Tian; Robert H. Deng (SACMAT, 2025)

API-Guided Dataset Synthesis to Finetune Large Code Models. - Zongjie Li; Daoyuan Wu; Shuai Wang 011; Zhendong Su 001 (Proc. ACM Program. Lang., 2025)

Divergence-Aware Testing of Graphics Shader Compiler Back-Ends. - Dongwei Xiao; Shuai Wang 011; Zhibo Liu; Yiteng Peng; Daoyuan Wu; Zhendong Su 001 (Proc. ACM Program. Lang., 2025)

DecLLM: LLM-Augmented Recompilable Decompilation for Enabling Programmatic Use of Decompiled Code. - Wai Kin Wong; Daoyuan Wu; Huaijin Wang 001; Zongjie Li; Zhibo Liu; Shuai Wang 011; Qiyi Tang 003; Sen Nie; Shi Wu (Proc. ACM Softw. Eng., 2025)

Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators. - Kunpeng Zhang; Zongjie Li; Daoyuan Wu; Shuai Wang 011; Xin Xia (CoRR, 2025)

DeFiScope: Detecting Various DeFi Price Manipulations with LLM Reasoning. - Juantao Zhong; Daoyuan Wu; Ye Liu 012; Maoyi Xie; Yang Liu 003; Yi Li 008; Ning Liu (CoRR, 2025)

GuidedBench: Equipping Jailbreak Evaluation with Guidelines. - Ruixuan Huang; Xunguang Wang; Zongjie Li; Daoyuan Wu; Shuai Wang 011 (CoRR, 2025)

Machine Learning for Actionable Warning Identification: A Comprehensive Survey. - Xiuting Ge; Chunrong Fang; Xuanye Li; Weisong Sun; Daoyuan Wu; Juan Zhai; Shang-Wei Lin 001; Zhihong Zhao; Yang Liu 003; Zhenyu Chen 001 (ACM Comput. Surv., 2025)

STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models. - Xunguang Wang; Wenxuan Wang 001; Zhenlan Ji; Zongjie Li; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011 (CoRR, 2025)

BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts. - Qingyue Wang; Qi Pang; Xixun Lin; Shuai Wang 011; Daoyuan Wu (CoRR, 2025)

IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems. - Liwen Wang; Wenxuan Wang 001; Shuai Wang 011; Zongjie Li; Zhenlan Ji; Zongyi Lyu; Daoyuan Wu; Shing-Chi Cheung (CoRR, 2025)

SoK: Evaluating Jailbreak Guardrails for Large Language Models. - Xunguang Wang; Zhenlan Ji; Wenxuan Wang 001; Zongjie Li; Daoyuan Wu; Shuai Wang 011 (CoRR, 2025)

Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs. - Zongjie Li; Daoyuan Wu; Shuai Wang 011; Zhendong Su 001 (CoRR, 2025)

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges. - Zimo Ji; Daoyuan Wu; Wenyuan Jiang; Pingchuan Ma 004; Zongjie Li; Shuai Wang 011 (CoRR, 2025)

Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG. - Yufan Chen; Daoyuan Wu; Juantao Zhong; Zicheng Zhang; Debin Gao; Shuai Wang 011; Yingjiu Li; Ning Liu (CoRR, 2025)