Towards Continuous and Passive Authentication via Touch Biometrics: An Experimental Study on Smartphones. - Hui Xu 009; Yangfan Zhou; Michael R. Lyu (SOUPS, 2014)

SpyAware: Investigating the privacy leakage signatures in app execution traces. - Hui Xu 009; Yangfan Zhou; Cuiyun Gao 001; Yu Kang 006; Michael R. Lyu (ISSRE, 2015)

AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining. - Cuiyun Gao 001; Hui Xu 009; Junjie Hu 001; Yangfan Zhou (SOSE, 2015)

PersisDroid: Android Performance Diagnosis via Anatomizing Asynchronous Executions. - Yu Kang 006; Yangfan Zhou; Hui Xu 009; Michael R. Lyu (CoRR, 2015)

N-Version Obfuscation: Impeding Software Tampering Replication with Program Diversity. - Hui Xu 009; Yangfan Zhou; Michael R. Lyu (CoRR, 2015)

N-version Obfuscation. - Hui Xu 009; Yangfan Zhou; Michael R. Lyu (CPSS@AsiaCCS, 2016)

DiagDroid: Android performance diagnosis via anatomizing asynchronous executions. - Yu Kang 006; Yangfan Zhou; Hui Xu 009; Michael R. Lyu (SIGSOFT FSE, 2016)

IntelliAd Understanding In-APP Ad Costs From Users Perspective. - Cuiyun Gao 001; Hui Xu 009; Yichuan Man; Yangfan Zhou; Michael R. Lyu (CoRR, 2016)

Assessing the Security Properties of Software Obfuscation. - Hui Xu 009; Michael R. Lyu (IEEE Secur. Priv., 2016)

Concolic Execution on Small-Size Binaries: Challenges and Empirical Study. - Hui Xu 009; Yangfan Zhou; Yu Kang 006; Michael R. Lyu (DSN, 2017)

IntelliAd: assisting mobile app developers in measuring ad costs automatically. - Cuiyun Gao 001; Yichuan Man; Hui Xu 009; Jieming Zhu; Yangfan Zhou; Michael R. Lyu (ICSE (Companion Volume), 2017)

On Secure and Usable Program Obfuscation: A Survey. - Hui Xu 009; Yangfan Zhou; Yu Kang 006; Michael R. Lyu (CoRR, 2017)

Manufacturing Resilient Bi-Opaque Predicates Against Symbolic Execution. - Hui Xu 009; Yangfan Zhou; Yu Kang 006; Fengzhi Tu; Michael R. Lyu (DSN, 2018)

DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation. - Hui Xu 009; Yuxin Su 001; Zirui Zhao; Yangfan Zhou; Michael R. Lyu; Irwin King (CoRR, 2018)

Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks. - Weibin Wu 002; Hui Xu 009; Sanqiang Zhong; Michael R. Lyu; Irwin King (DSN, 2019)

NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. - Hui Xu 009; Zhuangbin Chen; Weibin Wu 002; Zhi Jin; Sy-Yen Kuo; Michael R. Lyu (DSN Workshops, 2019)

Textout: Detecting Text-Layout Bugs in Mobile Apps via Visualization-Oriented Learning. - Yaohui Wang 003; Hui Xu 009; Yangfan Zhou; Michael R. Lyu; Xin Wang 002 (ISSRE, 2019)

Detecting Deep Neural Network Defects with Data Flow Analysis. - Jiazhen Gu; Huanlin Xu; Yangfan Zhou; Xin Wang 002; Hui Xu 009; Michael R. Lyu (CoRR, 2019)

Towards intelligent incident management: why we need it and how we make it. - Zhuangbin Chen; Yu Kang 006; Liqun Li; Xu Zhang 024; Hongyu Zhang 002; Hui Xu 009; Yangfan Zhou; Li Yang; Jeffrey Sun; Zhangwei Xu; Yingnong Dang; Feng Gao 022; et al. (ESEC/SIGSOFT FSE, 2020)

Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs. - Hui Xu 009; Zhuangbin Chen; Mingshen Sun; Yangfan Zhou (CoRR, 2020)

Layered obfuscation: a taxonomy of software obfuscation techniques for layered security. - Hui Xu 009; Yangfan Zhou; Jiang Ming 002; Michael R. Lyu (Cybersecur., 2020)

Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs. - Hui Xu 009; Zirui Zhao; Yangfan Zhou; Michael R. Lyu (IEEE Trans. Dependable Secur. Comput., 2020)

Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021. - Hui Xu 009; Guanpeng Li; Homa Alemzadeh; Rakesh Bobba; Varun Chandrasekaran; David E. Evans 001; Nicolas Papernot; Karthik Pattabiraman; Florian Tramèr (DSN Workshops, 2021)

Boosting symbolic execution via constraint solving time prediction (experience paper). - Sicheng Luo; Hui Xu 009; Yanxiang Bi; Xin Wang 002; Yangfan Zhou (ISSTA, 2021)

RULF: Rust Library Fuzzing via API Dependency Graph Traversal. - Jianfeng Jiang; Hui Xu 009; Yangfan Zhou (ASE, 2021)

LegoAI: Towards Building Reliable AI Software for Real-world Applications. - Mengyuan Hou; Hui Xu 009 (ISSRE Workshops, 2022)

Automated Test Case Generation from Input Specification in Natural Language. - Tianyu Li; Xiuwen Lu; Hui Xu 009 (ISSRE Workshops, 2022)

Safe Rust Code Recommendation Based on Siamese Graph Neural Network. - Xiuwen Lu; Zhicong Zhang; Hui Xu 009 (PRDC, 2022)

STELLA: Sparse Taint Analysis for Enclave Leakage Detection. - Yang Chen; Jianfeng Jiang; Shoumeng Yan; Hui Xu 009 (CoRR, 2022)

Rust Library Fuzzing. - Hui Xu 009 (IEEE Softw., 2022)

Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs. - Hui Xu 009; Zhuangbin Chen; Mingshen Sun; Yangfan Zhou; Michael R. Lyu (ACM Trans. Softw. Eng. Methodol., 2022)

Investigating the Impact of High-Level Software Design on Low-Level Hardware Fault Resilience. - Bohan Zhang; Lishan Yang; Guanpeng Li; Hui Xu 009 (DSN-S, 2023)

Mind Your Enclave Pointers! Detecting Privacy Leaks for SGX Apps via Sparse Taint Analysis. - Yang Chen; Jianfeng Jiang; Shoumeng Yan; Hui Xu 009 (ISSRE, 2023)

Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication. - Zhengyang He; Yafan Huang; Hui Xu 009; Dingwen Tao; Guanpeng Li (SC, 2023)

OOM-Guard: Towards Improving the Ergonomics of Rust OOM Handling via a Reservation-Based Approach. - Chengjun Chen; Zhicong Zhang; Hongliang Tian; Shoumeng Yan; Hui Xu 009 (ESEC/SIGSOFT FSE, 2023)

Is unsafe an Achilles' Heel? A Comprehensive Study of Safety Requirements in Unsafe Rust Programming. - Mohan Cui; Suran Sun; Hui Xu 009; Yangfan Zhou (CoRR, 2023)

rCanary: Detecting Memory Leaks Across Semi-automated Memory Management Boundary in Rust. - Mohan Cui; Suran Sun; Hui Xu 009; Yangfan Zhou (CoRR, 2023)

SafeDrop: Detecting Memory Deallocation Bugs of Rust Programs via Static Data-flow Analysis. - Mohan Cui; Chengjun Chen; Hui Xu 009; Yangfan Zhou (ACM Trans. Softw. Eng. Methodol., 2023)

A Fast Low-Level Error Detection Technique. - Zhengyang He; Hui Xu 009; Guanpeng Li (DSN, 2024)

Is unsafe an Achilles' Heel? A Comprehensive Study of Safety Requirements in Unsafe Rust Programming. - Mohan Cui; Shuran Sun; Hui Xu 009; Yangfan Zhou (ICSE, 2024)

Fearless Unsafe. A More User-friendly Document for Unsafe Rust Programming Base on Refined Safety Properties. - Mohan Cui; Penglei Mao; Shuran Sun; Yangfan Zhou; Hui Xu 009 (CoRR, 2024)

SafeNet: Towards mitigating replaceable unsafe Rust code via a recommendation-based approach. - Yan Dong; Zhicong Zhang; Mohan Cui; Hui Xu 009 (Softw. Test. Verification Reliab., 2024)

rCanary: Detecting Memory Leaks Across Semi-Automated Memory Management Boundary in Rust. - Mohan Cui; Hui Xu 009; Hongliang Tian; Yangfan Zhou (IEEE Trans. Software Eng., 2024)

RuMono: Fuzz Driver Synthesis for Rust Generic APIs. - Yehong Zhang; Jun Wu 006; Hui Xu 009 (ACM Trans. Softw. Eng. Methodol., 2025)