| 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 |
| Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing Y Yuan, S Wang, M Jiang, TY Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 51 | 2021 |
| MDPFuzz: testing models solving Markov decision processes Q Pang, Y Yuan, S Wang Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 32* | 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 | 28* | 2023 |
| Explain any concept: Segment anything meets concept-based explanation A Sun, P Ma, Y Yuan, S Wang Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| Sok: demystifying binary lifters through the lens of downstream applications Z Liu, Y Yuan, S Wang, Y Bao 2022 IEEE Symposium on Security and Privacy (SP), 1100-1119, 2022 | 25 | 2022 |
| Automated Side Channel Analysis of Media Software with Manifold Learning Y Yuan, Q Pang, S Wang 31st USENIX Security Symposium (USENIX Security 22), 2022 | 20 | 2022 |
| CC: Causality-Aware Coverage Criterion for Deep Neural Networks Z Ji, P Ma, Y Yuan, S Wang 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 19 | 2023 |
| No privacy left outside: On the (in-) security of tee-shielded dnn partition for on-device ml Z Zhang, C Gong, Y Cai, Y Yuan, B Liu, D Li, Y Guo, X Chen 2024 IEEE Symposium on Security and Privacy (SP), 3327-3345, 2024 | 18 | 2024 |
| 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 |
| {CacheQL}: Quantifying and Localizing Cache {Side-Channel} Vulnerabilities in Production Software Y Yuan, Z Liu, S Wang 32nd USENIX Security Symposium (USENIX Security 23), 2009-2026, 2023 | 17 | 2023 |
| Decompiling x86 deep neural network executables Z Liu, Y Yuan, S Wang, X Xie, L Ma 32nd USENIX Security Symposium (USENIX Security 23), 7357-7374, 2023 | 15* | 2023 |
| 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 | 14* | 2024 |
| ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems Q Pang, Y Yuan, S Wang, W Zheng 2023 IEEE Symposium on Security and Privacy (SP), 1875-1892, 2023 | 14* | 2023 |
| Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking H Wang, P Ma, Y Yuan, Z Liu, S Wang, Q Tang, S Nie, S Wu IEEE Transactions on Software Engineering 49 (1), 226-250, 2022 | 14 | 2022 |
| MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models Q Pang, Y Yuan, S Wang NDSS, 2024 | 7 | 2024 |
| OBSAN: An Out-Of-Bound Sanitizer to Harden DNN Executables Y Chen, Y Yuan, S Wang 30th Network and Distributed System Security Symposium, 2023., 0 | 5* | |
| Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning A Sun, Y Yuan, P Ma, S Wang arXiv preprint arXiv:2402.05945, 2024 | 4 | 2024 |
| Private Image Reconstruction from System Side Channels Using Generative Models Y Yuan, S Wang, J Zhang International Conference on Learning Representations (ICLR 2021), 2020 | 4 | 2020 |
| NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers P Ma, Z Liu, Y Yuan, S Wang IEEE Transactions on Information Forensics and Security 17, 982-997, 2022 | 3 | 2022 |
Shuai WangThe Hong Kong University of Science and TechnologyVerified email at cse.ust.hk