| Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks X Qi, T Xie, R Pan, J Zhu, Y Yang, K Bu Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2021 | 18 | 2021 |
| Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks NM Gürel, X Qi, L Rimanic, C Zhang, B Li International Conference on Machine Learning (ICML), 2021, 2021 | 14 | 2021 |
| Revisiting the assumption of latent separability for backdoor defenses X Qi, T Xie, Y Li, S Mahloujifar, P Mittal International Conference on Learning Representations (ICLR), 2023, 2023 | 9* | 2023 |
| Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting X Qi, J Zhu, C Xie, Y Yang ICLR Workshop, 2021 | 8 | 2021 |
| Fight Poison with Poison: Detecting Backdoor Poison Samples via Decoupling Benign Correlations X Qi, T Xie, S Mahloujifar, P Mittal arXiv preprint arXiv:2205.13616, 2022 | 3 | 2022 |
| Uncovering Adversarial Risks of Test-Time Adaptation T Wu, F Jia, X Qi, JT Wang, V Sehwag, S Mahloujifar, P Mittal arXiv preprint arXiv:2301.12576, 2023 | | 2023 |
Prateek MittalProfessor, Princeton UniversityDirección de correo verificada de princeton.edu
