| A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges M Salehi, H Mirzaei, D Hendrycks, Y Li, MH Rohban, M Sabokrou TMLR, 2021 | 228 | 2021 |
| Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models H Mirzaei, M Salehi, S Shahabi, E Gavves, CGM Snoek, M Sabokrou, ... ICLR, 2022 | 45* | 2022 |
| RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples H Mirzaei, M Jafari, HR Dehbashi, A Ansari, S Ghobadi, M Hadi, ... ICML, 2024 | 1* | 2024 |
| Universal Novelty Detection Through Adaptive Contrastive Learning H Mirzaei, M Nafez, M Jafari, MB Soltani, M Azizmalayeri, J Habibi, ... CVPR, 2024 | 1 | 2024 |
| Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings H Mirzaei, MW Mathis arXiv preprint arXiv:2410.10744, 2024 | | 2024 |
| Killing It With Zero-Shot: Adversarially Robust Novelty Detection H Mirzaei, M Jafari, HR Dehbashi, ZS Taghavi, M Sabokrou, MH Rohban ICASSP, 2024 | | 2024 |
| Scanning Trojaned Models Using Out-of-Distribution Samples H Mirzaei, A Ansari, BD Nia, M Nafez, M Madadi, S Rezaee, ZS Taghavi, ... NeurIPS, 2024 | | 2024 |
| Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework AS Moakhar, M Azizmalayeri, H Mirzaei, MT Manzuri, MH Rohban arXiv preprint arXiv:2310.09952, 2023 | | 2023 |
Mohammad Hossein RohbanAssociate Professor in Computer Engineering, Sharif University of TechnologyVerified email at sharif.edu
