教育背景

2020.09-2024.10，香港科技大学，计算机科学与工程，博士

2016.09-2020.06，复旦大学，计算机科学与技术，学士

工作履历

2025.12-至今，清华大学软件学院，助理教授

2024.10-2025.12，苏黎世联邦理工学院，博士后

学术兼职

PC, USENIX Security Symposium (USENIX Security), 2026

PC, ACM Conference on Computer and Communications Security (CCS), 2026

PC, International Conference on Software Engineering (ICSE), 2026

奖励与荣誉

2025年，IEEE S&P 杰出论文奖

2024年，香港科技大学CSE最佳博士论文奖

研究成果

【科研项目】

- 人工智能系统安全性研究，国家自然科学基金优秀青年科学基金项目（海外）

【学术论文】

- Yanzuo Chen, Yuanyuan Yuan*, Zhibo Liu, Sihang Hu, Tianxiang Li, and Shuai Wang. "BitShield: Defending Against Bit-Flip Attacks on DNN Executables". Network and Distributed System Security Symposium (NDSS), 2025.

- Yuanyuan Yuan, Zhibo Liu, Sen Deng, Yanzuo Chen, Shuai Wang, Yinqian Zhang, and Zhendong Su. "CipherSteal: Stealing Input Data from TEE-Shielded Neural Networks with Ciphertext Side Channels". IEEE Symposium on Security and Privacy (IEEE S&P, Distinguished Paper Award), 2025.

- Yanzuo Chen, Zhibo Liu, Yuanyuan Yuan*, Sihang Hu, Tianxiang Li, and Shuai Wang. "Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces in DNN Executables". Network and Distributed System Security Symposium (NDSS), 2025.

- Zhibo Liu, Yuanyuan Yuan, Yanzuo Chen, Sihang Hu, Tianxiang Li, and Shuai Wang. "DeepCache: Revisiting Cache Side-Channel Attacks in Deep Neural Networks Executables". ACM Conference on Computer and Communications Security (CCS), 2024.

- Yuanyuan Yuan, Zhibo Liu, Sen Deng, Yanzuo Chen, Shuai Wang, Yinqian Zhang, and Zhendong Su. "HyperTheft: Thieving Model Weights from TEE-Shielded Neural Networks via Ciphertext Side Channels". ACM Conference on Computer and Communications Security (CCS), 2024.

- Yuanyuan Yuan, Shuai Wang, and Zhendong Su. "See the Forest, not Trees: Unveiling and Escaping the Pitfalls of Error-Triggering Inputs in Neural Network Testing". International Symposium on Software Testing and Analysis (ISSTA), 2024.

- Yuanyuan Yuan, Qi Pang, and Shuai Wang. "Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing". IEEE Transactions on Software Engineering (TSE), 2024.

- Ziqi Zhang, Chen Gong, Yifeng Cai, Yuanyuan Yuan, Bingyan Liu, Ding Li, Yao Guo, and Xiangqun Chen. "No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition Defenses". IEEE Symposium on Security and Privacy (IEEE S&P), 2024.

- Qi Pang, Yuanyuan Yuan, and Shuai Wang. "MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models". Network and Distributed System Security Symposium (NDSS), 2024.

- Ao Sun, Pingchuan Ma, Yuanyuan Yuan, and Shuai Wang. "Explain Any Concept: Segment Anything Meets Concept-Based Explanation". Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.

- Qi Pang, Yuanyuan Yuan, Shuai Wang, and Wenting Zheng. "ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems". IEEE Symposium on Security and Privacy (IEEE S&P), 2023.

- Yanzuo Chen, Yuanyuan Yuan*, and Shuai Wang. "OBSan: An Out-Of-Bound Sanitizer to Harden DNN Executables". Network and Distributed System Security Symposium (NDSS), 2023.

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

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

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

- Zhenlan Ji, Pingchuan Ma, Yuanyuan Yuan*, and Shuai Wang. "CC: Causality-Aware Coverage Criterion for Deep Neural Networks". IEEE/ACM International Conference on Software Engineering (ICSE), 2023.

- Yuanyuan Yuan, Qi Pang, and Shuai Wang. "Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion". IEEE/ACM International Conference on Software Engineering (ICSE), 2023.

- Yuanyuan Yuan, Qi Pang, and Shuai Wang. "Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing". IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022.

- Qi Pang, Yuanyuan Yuan, and Shuai Wang. "MDPFuzz: Testing Models Solving Markov Decision Processes". International Symposium on Software Testing and Analysis (ISSTA), 2022.

- Pingchuan Ma, Zhibo Liu, Yuanyuan Yuan, and Shuai Wang. "NeuralD: Detecting Indistinguishability Violations of Oblivious RAM with Neural Distinguishers". IEEE Transactions on Information Forensics and Security (TIFS), 2022.

- Huaijin Wang, Pingchuan Ma, Yuanyuan Yuan, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, and Shi Wu. "Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking". IEEE Transactions on Software Engineering (TSE), 2022.

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

- Zhibo Liu, Yuanyuan Yuan, Shuai Wang, and Yuyan Bao. "SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications". IEEE Symposium on Security and Privacy (IEEE S&P), 2022.

- Yuanyuan Yuan, Shuai Wang, Mingyue Jiang, and Tsong Yueh Chen. "Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing". IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

- Yuanyuan Yuan, Shuai Wang, and Junping Zhang. "Private Image Reconstruction from System Side Channels Using Generative Models". International Conference on Learning Representations (ICLR), 2021.

【工业界安全报告】

- Yanzuo Chen, Zhibo Liu, Yuanyuan Yuan, Sihang Hu, Tianxiang Li, and Shuai Wang. "The Devil is in the (Micro-) Architectures: Uncovering New Side-Channel and Bit-Flip Attack Surfaces in DNN Executables". Black Hat Europe, 2024.

- Zhibo Liu, Yuanyuan Yuan, Xiaofei Xie, Tianxiang Li, Wenqiang Li, and Shuai Wang. "BTD: Unleashing the Power of Decompilation for x86 Deep Neural Network Executables". Black Hat USA, 2023.