| Interpretable deep learning under fire X Zhang, N Wang, H Shen, S Ji, X Luo, T Wang 29th {USENIX} security symposium ({USENIX} security 20), 2020 | 197 | 2020 |
| Model-reuse attacks on deep learning systems Y Ji, X Zhang, S Ji, X Luo, T Wang Proceedings of the 2018 ACM SIGSAC conference on computer and communications …, 2018 | 197 | 2018 |
| Differentially private releasing via deep generative model (technical report) X Zhang, S Ji, T Wang arXiv preprint arXiv:1801.01594, 2018 | 177 | 2018 |
| Trojaning language models for fun and profit X Zhang, Z Zhang, S Ji, T Wang 2021 IEEE European Symposium on Security and Privacy (EuroS&P), 179-197, 2021 | 133 | 2021 |
| A tale of evil twins: Adversarial inputs versus poisoned models R Pang, H Shen, X Zhang, S Ji, Y Vorobeychik, X Luo, A Liu, T Wang Proceedings of the 2020 ACM SIGSAC conference on computer and communications …, 2020 | 115 | 2020 |
| Backdoor attacks against learning systems Y Ji, X Zhang, T Wang 2017 IEEE Conference on Communications and Network Security (CNS), 1-9, 2017 | 79 | 2017 |
| Private, yet practical, multiparty deep learning X Zhang, S Ji, H Wang, T Wang 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 79 | 2017 |
| Sok: On the semantic ai security in autonomous driving J Shen, N Wang, Z Wan, Y Luo, T Sato, Z Hu, X Zhang, S Guo, Z Zhong, ... arXiv preprint arXiv:2203.05314, 2022 | 38 | 2022 |
| Advmind: Inferring adversary intent of black-box attacks R Pang, X Zhang, S Ji, X Luo, T Wang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 37 | 2020 |
| Detecting multi-sensor fusion errors in advanced driver-assistance systems Z Zhong, Z Hu, S Guo, X Zhang, Z Zhong, B Ray proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 23 | 2022 |
| Detecting safety problems of multi-sensor fusion in autonomous driving Z Zhong, Z Hu, S Guo, X Zhang, Z Zhong, B Ray arXiv preprint arXiv:2109.06404, 2021 | 10 | 2021 |
| Inspiration or preparation? Explaining creativity in scientific enterprise X Zhang, D Wang, T Wang Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 6 | 2016 |
| I-Algebra: Towards interactive interpretability of deep neural networks X Zhang, R Pang, S Ji, F Ma, T Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11691 …, 2021 | 5 | 2021 |
| Text2layer: Layered image generation using latent diffusion model X Zhang, W Zhao, X Lu, J Chien arXiv preprint arXiv:2307.09781, 2023 | 4 | 2023 |
| Deepclean: data cleaning via question asking X Zhang, Y Ji, C Nguyen, T Wang 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 3 | 2018 |
| EagleEye: Attack-agnostic defense against adversarial inputs (technical report) Y Ji, X Zhang, T Wang arXiv preprint arXiv:1808.00123, 2018 | 3 | 2018 |
| Modular Learning Component Attacks: Today's Reality, Tomorrow's Challenge X Zhang, Y Ji, T Wang arXiv preprint arXiv:1708.07807, 2017 | 3 | 2017 |
| SimLane: A Risk-Orientated Benchmark for Lane Detection X Zhang, Z Hu, S Guo, Z Zhong, K Li 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems …, 2022 | | 2022 |
