| Sleeper agent: Scalable hidden trigger backdoors for neural networks trained from scratch H Souri, L Fowl, R Chellappa, M Goldblum, T Goldstein Advances in Neural Information Processing Systems 35, 19165-19178, 2022 | 137 | 2022 |
| Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks M Goldblum, H Souri, R Ni, M Shu, V Prabhu, G Somepalli, ... Advances in Neural Information Processing Systems 36, 2024 | 64 | 2024 |
| Atfacegan: Single face image restoration and recognition from atmospheric turbulence CP Lau, H Souri, R Chellappa 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 45 | 2020 |
| Pre-train your loss: Easy bayesian transfer learning with informative priors R Shwartz-Ziv, M Goldblum, H Souri, S Kapoor, C Zhu, Y LeCun, ... Advances in Neural Information Processing Systems 35, 27706-27715, 2022 | 40 | 2022 |
| Mutual adversarial training: Learning together is better than going alone J Liu, CP Lau, H Souri, S Feizi, R Chellappa IEEE Transactions on Information Forensics and Security 17, 2364-2377, 2022 | 32 | 2022 |
| The close relationship between contrastive learning and meta-learning R Ni, M Shu, H Souri, M Goldblum, T Goldstein International conference on learning representations, 2021 | 22 | 2021 |
| A deep dive into dataset imbalance and bias in face identification V Cherepanova, S Reich, S Dooley, H Souri, J Dickerson, M Goldblum, ... Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 229-247, 2023 | 19 | 2023 |
| Towards gender-neutral face descriptors for mitigating bias in face recognition P Dhar, J Gleason, H Souri, CD Castillo, R Chellappa arXiv preprint arXiv:2006.07845, 2020 | 19 | 2020 |
| Interpolated joint space adversarial training for robust and generalizable defenses CP Lau, J Liu, H Souri, WA Lin, S Feizi, R Chellappa IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11 …, 2023 | 14 | 2023 |
| Thinking two moves ahead: Anticipating other users improves backdoor attacks in federated learning Y Wen, J Geiping, L Fowl, H Souri, R Chellappa, M Goldblum, T Goldstein ICML 2022 Workshop on New Frontiers in Adversarial Machine Learning, 2022 | 11 | 2022 |
| An adversarial learning algorithm for mitigating gender bias in face recognition P Dhar, J Gleason, H Souri, CD Castillo, R Chellappa arXiv preprint arXiv:2006.07845 2, 2020 | 11 | 2020 |
| Adversarial attacks and robust defenses in deep learning CP Lau, J Liu, WA Lin, H Souri, P Khorramshahi, R Chellappa Handbook of Statistics 48, 29-58, 2023 | 9 | 2023 |
| Identifying Attack-Specific Signatures in Adversarial Examples H Souri, P Khorramshahi, CP Lau, M Goldblum, R Chellappa ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 8* | 2024 |
| Gans with variational entropy regularizers: Applications in mitigating the mode-collapse issue P Khorramshahi, H Souri, R Chellappa, S Feizi arXiv preprint arXiv:2009.11921, 2020 | 3 | 2020 |
| On the Security and Adaptation of Neural Networks: A Study of Adversarial Robustness, Backdoor Attacks, and Transfer Learning H Souri Johns Hopkins University, 2024 | | 2024 |
| Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion H Souri, A Bansal, H Kazemi, L Fowl, A Saha, J Geiping, AG Wilson, ... ICML 2024 Workshop on the Next Generation of AI Safety, 2024 | | 2024 |
| Certified Watermarks for Neural Networks AA Bansal, P Chiang, M Curry, H Souri, R Chellappa, JP Dickerson, ... | | |
| 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG L Xi, W Chen, A Bulat, J Kossaifi, MR Koujan, MC Doukas, L Alharbawee, ... | | |
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityEmail verificata su jhu.edu