Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing. - Yuanyuan Yuan 001; Shuai Wang 011; Mingyue Jiang; Tsong Yueh Chen (CVPR, 2021)

Private Image Reconstruction from System Side Channels Using Generative Models. - Yuanyuan Yuan 001; Shuai Wang 011; Junping Zhang (ICLR, 2021)

You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage. - Yuanyuan Yuan 001; Qi Pang; Shuai Wang 011 (CoRR, 2021)

Enhancing Deep Neural Networks Testing by Traversing Data Manifold. - Yuanyuan Yuan 001; Qi Pang; Shuai Wang 011 (CoRR, 2021)

MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process. - Qi Pang; Yuanyuan Yuan 001; Shuai Wang 011 (CoRR, 2021)

MDPFuzz: testing models solving Markov decision processes. - Qi Pang; Yuanyuan Yuan 001; Shuai Wang 011 (ISSTA, 2022)

Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing. - Yuanyuan Yuan 001; Qi Pang; Shuai Wang 011 (ASE, 2022)

Metamorphic Testing of Deep Learning Compilers. - Dongwei Xiao; Zhibo Liu 001; Yuanyuan Yuan 001; Qi Pang; Shuai Wang 011 (SIGMETRICS (Abstracts), 2022)

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications. - Zhibo Liu 001; Yuanyuan Yuan 001; Shuai Wang 011; Yuyan Bao (SP, 2022)

Automated Side Channel Analysis of Media Software with Manifold Learning. - Yuanyuan Yuan 001; Qi Pang; Shuai Wang 011 (USENIX Security Symposium, 2022)

NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers. - Pingchuan Ma 004; Zhibo Liu 001; Yuanyuan Yuan 001; Shuai Wang 011 (IEEE Trans. Inf. Forensics Secur., 2022)

CC: Causality-Aware Coverage Criterion for Deep Neural Networks. - Zhenlan Ji; Pingchuan Ma 004; Yuanyuan Yuan 001; Shuai Wang 011 (ICSE, 2023)

Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion. - Yuanyuan Yuan 001; Qi Pang; Shuai Wang 011 (ICSE, 2023)

OBSan: An Out-Of-Bound Sanitizer to Harden DNN Executables. - Yanzuo Chen; Yuanyuan Yuan 001; Shuai Wang 011 (NDSS, 2023)

Explain Any Concept: Segment Anything Meets Concept-Based Explanation. - Ao Sun; Pingchuan Ma 004; Yuanyuan Yuan 001; Shuai Wang 011 (NeurIPS, 2023)

ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems. - Qi Pang; Yuanyuan Yuan 001; Shuai Wang 011; Wenting Zheng (SP, 2023)

Decompiling x86 Deep Neural Network Executables. - Zhibo Liu 001; Yuanyuan Yuan 001; Shuai Wang 011; Xiaofei Xie; Lei Ma 003 (USENIX Security Symposium, 2023)

Precise and Generalized Robustness Certification for Neural Networks. - Yuanyuan Yuan 001; Shuai Wang 011; Zhendong Su 001 (USENIX Security Symposium, 2023)

CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software. - Yuanyuan Yuan 001; Zhibo Liu 001; Shuai Wang 011 (USENIX Security Symposium, 2023)

Unveiling Single-Bit-Flip Attacks on DNN Executables. - Yanzuo Chen; Zhibo Liu 001; Yuanyuan Yuan 001; Sihang Hu; Tianxiang Li; Shuai Wang 011 (CoRR, 2023)

Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking. - Huaijin Wang 001; Pingchuan Ma 004; Yuanyuan Yuan 001; Zhibo Liu 001; Shuai Wang 011; Qiyi Tang 003; Sen Nie; Shi Wu (IEEE Trans. Software Eng., 2023)

DeepCache: Revisiting Cache Side-Channel Attacks in Deep Neural Networks Executables. - Zhibo Liu 001; Yuanyuan Yuan 001; Yanzuo Chen; Sihang Hu; Tianxiang Li; Shuai Wang 011 (CCS, 2024)

HyperTheft: Thieving Model Weights from TEE-Shielded Neural Networks via Ciphertext Side Channels. - Yuanyuan Yuan 001; Zhibo Liu 001; Sen Deng; Yanzuo Chen; Shuai Wang 011; Yinqian Zhang; Zhendong Su 001 (CCS, 2024)

See the Forest, not Trees: Unveiling and Escaping the Pitfalls of Error-Triggering Inputs in Neural Network Testing. - Yuanyuan Yuan 001; Shuai Wang 011; Zhendong Su 001 (ISSTA, 2024)

MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models. - Qi Pang; Yuanyuan Yuan 001; Shuai Wang 011 (NDSS, 2024)

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML. - Ziqi Zhang; Chen Gong; Yifeng Cai; Yuanyuan Yuan 001; Bingyan Liu; Ding Li 001; Yao Guo 001; Xiangqun Chen (SP, 2024)

Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning. - Ao Sun; Yuanyuan Yuan 001; Pingchuan Ma 004; Shuai Wang 011 (CoRR, 2024)

How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation. - Liwen Wang; Yuanyuan Yuan 001; Ao Sun; Zongjie Li; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011 (CoRR, 2024)

Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing. - Yuanyuan Yuan 001; Qi Pang; Shuai Wang 011 (IEEE Trans. Software Eng., 2024)

Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces in DNN Executables. - Yanzuo Chen; Zhibo Liu 001; Yuanyuan Yuan 001; Sihang Hu; Tianxiang Li; Shuai Wang 011 (NDSS, 2025)

BitShield: Defending Against Bit-Flip Attacks on DNN Executables. - Yanzuo Chen; Yuanyuan Yuan 001; Zhibo Liu 001; Sihang Hu; Tianxiang Li; Shuai Wang 011 (NDSS, 2025)

CipherSteal: Stealing Input Data from TEE-Shielded Neural Networks with Ciphertext Side Channels. - Yuanyuan Yuan 001; Zhibo Liu 001; Sen Deng; Yanzuo Chen; Shuai Wang 011; Yinqian Zhang; Zhendong Su 001 (SP, 2025)

Is Your Benchmark (Still) Useful? Dynamic Benchmarking for Code Language Models. - Batu Guan; Xiao Wu; Yuanyuan Yuan 001; Shaohua Li (CoRR, 2025)

Hi-CBM: Mitigating information leakage via hierarchical concept bottleneck modeling. - Ao Sun; Qingyue Wang; Yuanyuan Yuan 001; Pingchuan Ma 004; Shuai Wang 011 (Neurocomputing, 2026)