| Metamorphic testing of deep learning compilers D Xiao, Z Liu, Y Yuan, Q Pang, S Wang Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (1 …, 2022 | 55 | 2022 |
| Bolt: Privacy-preserving, accurate and efficient inference for transformers Q Pang, J Zhu, H Möllering, W Zheng, T Schneider 2024 IEEE Symposium on Security and Privacy (SP), 4753-4771, 2024 | 39 | 2024 |
| Byzantine-robust federated learning with optimal statistical rates B Zhu, L Wang, Q Pang, S Wang, J Jiao, D Song, MI Jordan International Conference on Artificial Intelligence and Statistics, 3151-3178, 2023 | 37* | 2023 |
| MDPFuzz: Testing Models Solving Markov Decision Processes Q Pang, Y Yuan, S Wang Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2021 | 33* | 2021 |
| {PrivGuard}: Privacy regulation compliance made easier L Wang, U Khan, J Near, Q Pang, J Subramanian, N Somani, P Gao, ... 31st USENIX Security Symposium (USENIX Security 22), 3753-3770, 2022 | 30 | 2022 |
| Revisiting neuron coverage for dnn testing: A layer-wise and distribution-aware criterion Y Yuan, Q Pang, S Wang 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 25 | 2023 |
| Automated Side Channel Analysis of Media Software with Manifold Learning Y Yuan, Q Pang, S Wang 31st USENIX Security Symposium (USENIX Security 22), 4419-4436, 2022 | 20 | 2022 |
| Unveiling hidden dnn defects with decision-based metamorphic testing Y Yuan, Q Pang, S Wang Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 18 | 2022 |
| Towards practical differentially private causal graph discovery L Wang, Q Pang, D Song Advances in Neural Information Processing Systems 33, 5516-5526, 2020 | 17 | 2020 |
| Noleaks: Differentially private causal discovery under functional causal model P Ma, Z Ji, Q Pang, S Wang IEEE Transactions on Information Forensics and Security 17, 2324-2338, 2022 | 16 | 2022 |
| {mID}: Tracing screen photos via {Moiré} patterns Y Cheng, X Ji, L Wang, Q Pang, YC Chen, W Xu 30th USENIX Security Symposium (USENIX Security 21), 2969-2986, 2021 | 15 | 2021 |
| ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems Q Pang, Y Yuan, S Wang, W Zheng arXiv preprint arXiv:2201.02775, 2022 | 14* | 2022 |
| Attacking llm watermarks by exploiting their strengths Q Pang, S Hu, W Zheng, V Smith ICLR 2024 Workshop on Secure and Trustworthy Large Language Models, 2024 | 11 | 2024 |
| Secure federated correlation test and entropy estimation Q Pang, L Wang, S Wang, W Zheng, D Song International Conference on Machine Learning, 26990-27010, 2023 | 11* | 2023 |
| MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models Q Pang, Y Yuan, S Wang NDSS, 2024 | 8 | 2024 |
| Enhancing deep neural networks testing by traversing data manifold Y Yuan, Q Pang, S Wang CoRR, 2021 | 8 | 2021 |
| Provably valid and diverse mutations of real-world media data for dnn testing Y Yuan, Q Pang, S Wang IEEE Transactions on Software Engineering, 2024 | 5 | 2024 |
| No free lunch in llm watermarking: Trade-offs in watermarking design choices Q Pang, S Hu, W Zheng, V Smith The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 3 | 2024 |
| Metamorphic testing of secure multi-party computation (mpc) compilers Y Li, D Xiao, Z Liu, Q Pang, S Wang Proceedings of the ACM on Software Engineering 1 (FSE), 1216-1237, 2024 | 2 | 2024 |
| Communication Bounds for the Distributed Experts Problem Z Jia, Q Pang, T Tran, D Woodruff, Z Zhang, W Zheng arXiv preprint arXiv:2501.03132, 2025 | | 2025 |
Shuai WangThe Hong Kong University of Science and TechnologyDirección de correo verificada de cse.ust.hk