| 2025 | NDSS | Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces in DNN Executables. | Yanzuo Chen, Zhibo Liu, Yuanyuan Yuan, Sihang Hu, Tianxiang Li, Shuai Wang |
| 2025 | NDSS | BitShield: Defending Against Bit-Flip Attacks on DNN Executables. | Yanzuo Chen, Yuanyuan Yuan, Zhibo Liu, Sihang Hu, Tianxiang Li, Shuai Wang |
| 2025 | SP | CipherSteal: Stealing Input Data from TEE-Shielded Neural Networks with Ciphertext Side Channels. | Yuanyuan Yuan, Zhibo Liu, Sen Deng, Yanzuo Chen, Shuai Wang, Yinqian Zhang, Zhendong Su |
| 2024 | CCS | DeepCache: Revisiting Cache Side-Channel Attacks in Deep Neural Networks Executables. | Zhibo Liu, Yuanyuan Yuan, Yanzuo Chen, Sihang Hu, Tianxiang Li, Shuai Wang |
| 2024 | CCS | HyperTheft: Thieving Model Weights from TEE-Shielded Neural Networks via Ciphertext Side Channels. | Yuanyuan Yuan, Zhibo Liu, Sen Deng, Yanzuo Chen, Shuai Wang, Yinqian Zhang, Zhendong Su |
| 2024 | ISSTA | See the Forest, not Trees: Unveiling and Escaping the Pitfalls of Error-Triggering Inputs in Neural Network Testing. | Yuanyuan Yuan, Shuai Wang, Zhendong Su |
| 2024 | NDSS | MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models. | Qi Pang, Yuanyuan Yuan, Shuai Wang |
| 2024 | SP | 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, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen |
| 2023 | ICSE | CC: Causality-Aware Coverage Criterion for Deep Neural Networks. | Zhenlan Ji, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang |
| 2023 | ICSE | Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion. | Yuanyuan Yuan, Qi Pang, Shuai Wang |
| 2023 | NDSS | OBSan: An Out-Of-Bound Sanitizer to Harden DNN Executables. | Yanzuo Chen, Yuanyuan Yuan, Shuai Wang |
| 2023 | SP | ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems. | Qi Pang, Yuanyuan Yuan, Shuai Wang, Wenting Zheng |
| 2022 | ISSTA | MDPFuzz: testing models solving Markov decision processes. | Qi Pang, Yuanyuan Yuan, Shuai Wang |
| 2022 | SP | SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications. | Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Yuyan Bao |
| 2022 | SIGMETRICS | Metamorphic Testing of Deep Learning Compilers. | Dongwei Xiao, Zhibo Liu, Yuanyuan Yuan, Qi Pang, Shuai Wang |
| 2021 | CVPR | Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing. | Yuanyuan Yuan, Shuai Wang, Mingyue Jiang, Tsong Yueh Chen |
| 2021 | ICLR | Private Image Reconstruction from System Side Channels Using Generative Models. | Yuanyuan Yuan, Shuai Wang, Junping Zhang |