Mirzaei, Hossein

9 publications

ICLR 2025 Adversarially Robust Anomaly Detection Through Spurious Negative Pair Mitigation Hossein Mirzaei, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

ICLR 2025 Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings Hossein Mirzaei, Mackenzie W Mathis

ICCV 2025 DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion Hossein Mirzaei, Zeinab Taghavi, Sepehr Rezaee, Masoud Hadi, Moein Madadi, Mackenzie W. Mathis

ICML 2024 RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

NeurIPS 2024 Scanning Trojaned Models Using Out-of-Distribution Samples Hossein Mirzaei, Ali Ansari, Bahar Dibaei Nia, Mojtaba Nafez, Moein Madadi, Sepehr Rezaee, Zeinab Sadat Taghavi, Arad Maleki, Kian Shamsaie, Mahdi Hajialilue, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

CVPR 2024 Universal Novelty Detection Through Adaptive Contrastive Learning Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

ICLR 2023 Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

TMLR 2022 A Unified Survey on Anomaly, Novelty, Open-Set, and Out Of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou

NeurIPSW 2022 Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban