| Graph-to-tree neural networks for learning structured input-output translation with applications to semantic parsing and math word problem S Li, L Wu, S Feng, F Xu, F Xu, S Zhong In Findings of the Association for Computational Linguistics: EMNLP 2020 …, 2020 | 81 | 2020 |
| Detecting backdoors in pre-trained encoders S Feng, G Tao, S Cheng, G Shen, X Xu, Y Liu, K Zhang, S Ma, X Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 52 | 2023 |
| Flip: A provable defense framework for backdoor mitigation in federated learning K Zhang, G Tao, Q Xu, S Cheng, S An, Y Liu, S Feng, G Shen, PY Chen, ... Proceedings of the Eleventh International Conference on Learning …, 2023 | 49 | 2023 |
| Distribution preserving backdoor attack in self-supervised learning G Tao, Z Wang, S Feng, G Shen, S Ma, X Zhang 2024 IEEE Symposium on Security and Privacy (SP), 2029-2047, 2024 | 24 | 2024 |
| Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection Z Cheng, H Choi, J Liang, S Feng, G Tao, D Liu, M Zuzak, X Zhang The Twelfth International Conference on Learning Representations (ICLR 2024), 2023 | 22 | 2023 |
| Improving binary code similarity transformer models by semantics-driven instruction deemphasis X Xu, S Feng, Y Ye, G Shen, Z Su, S Cheng, G Tao, Q Shi, Z Zhang, ... Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 20* | 2023 |
| Beagle: Forensics of deep learning backdoor attack for better defense S Cheng, G Tao, Y Liu, S An, X Xu, S Feng, G Shen, K Zhang, Q Xu, S Ma, ... Proceedings of the 30th Network and Distributed System Security Symposium …, 2023 | 15 | 2023 |
| Lmpa: Improving decompilation by synergy of large language model and program analysis X Xu, Z Zhang, S Feng, Y Ye, Z Su, N Jiang, S Cheng, L Tan, X Zhang arXiv preprint arXiv:2306.02546, 2023 | 12 | 2023 |
| BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks Z Cheng, Z Liu, T Guo, S Feng, D Liu, M Tang, X Zhang Forty-first International Conference on Machine Learning (ICML 2024), 2024 | 6 | 2024 |
| Lotus: Evasive and resilient backdoor attacks through sub-partitioning S Cheng, G Tao, Y Liu, G Shen, S An, S Feng, X Xu, K Zhang, S Ma, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model X Xu, Z Xuan, S Feng, S Cheng, Y Ye, Q Shi, G Tao, L Yu, Z Zhang, ... Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 2 | 2023 |
| Leveraging Generative Models to Recover Variable Names from Stripped Binary X Xu, Z Zhang, Z Su, Z Huang, S Feng, Y Ye, N Jiang, D Xie, S Cheng, ... arXiv preprint arXiv:2306.02546, 2023 | 2 | 2023 |
| ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation S Feng, Y Ye, Q Shi, Z Cheng, X Xu, S Cheng, H Choi, X Zhang Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | 1 | 2024 |
| DIGIMON: Diagnosis and Mitigation of Sampling Skew for Reinforcement Learning based Meta-Planner in Robot Navigation S Feng, X Chen, Z Cheng, Z Xiong, Y Gao, S Cheng, S Kate, X Zhang arXiv preprint arXiv:2409.10832, 2024 | | 2024 |
| Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving X Chen, S Feng, Z Xiong, S An, Y Mao, G Tao, W Guo, X Zhang | | |
Xiangyu ZhangSamuel Conte Professor of Computer Science, Purdue UniversityVerified email at cs.purdue.edu
