Hossein Mirzaei

20 papers A* 6Misc 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts. CoRR Hossein Mirzaei, Mojtaba Nafez, Moein Madadi, Arad Maleki, Mahdi Hajialilue, Zeinab Sadat Taghavi, Sepehr Rezaee, Ali Ansari, Bahar Dibaei Nia, Kian Shamsaie, Mohammadreza Salehi, Mackenzie W. Mathis, Mahdieh Soleymani Baghshah, Mohammad Sabokrou, Mohammad Hossein Rohban
2025	A*	`conf`	Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation. ICLR Hossein Mirzaei, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban
2025	A*	`conf`	Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings. ICLR Hossein Mirzaei, Mackenzie W. Mathis
2025	J	`jnl`	DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion. CoRR Hossein Mirzaei, Zeinab Taghavi, Sepehr Rezaee, Masoud Hadi, Moein Madadi, Mackenzie W. Mathis
2025	J	`jnl`	Killing it with Zero-Shot: Adversarially Robust Novelty Detection. CoRR Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Zeinab Sadat Taghavi, Mohammad Sabokrou, Mohammad Hossein Rohban
2025	J	`jnl`	Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection. CoRR Hossein Mirzaei, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban
2025	J	`jnl`	RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples. CoRR Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban
2025	J	`jnl`	Scanning Trojaned Models Using Out-of-Distribution Samples. CoRR 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
2024	J	`jnl`	Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings. CoRR Hossein Mirzaei, Mackenzie W. Mathis
2024	J	`jnl`	Backdooring Outlier Detection Methods: A Novel Attack Approach. CoRR Zeinab Taghavi, Hossein Mirzaei
2024	Misc	`conf`	Killing It With Zero-Shot: Adversarially Robust Novelty Detection. ICASSP Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Zeinab Sadat Taghavi, Mohammad Sabokrou, Mohammad Hossein Rohban
2024	A*	`conf`	RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples. ICML Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban
2024	A*	`conf`	Scanning Trojaned Models Using Out-of-Distribution Samples. NeurIPS Hossein Mirzaei, Ali Ansari, Bahar Dibaei Nia, Mojtaba Nafez, Moein Madadi, Sepehr Rezaee, Zeinab Taghavi, Arad Maleki, Kian Shamsaie, Mahdi Hajialilue, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban
2024	A*	`conf`	Universal Novelty Detection Through Adaptive Contrastive Learning. CVPR Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban
2024	J	`jnl`	Universal Novelty Detection Through Adaptive Contrastive Learning. CoRR Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban
2023	A*	`conf`	Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. ICLR Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
2023	J	`jnl`	Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework. CoRR Arshia Soltani Moakhar, Mohammad Azizmalayeri, Hossein Mirzaei, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
2022	J	`jnl`	A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges. Trans. Mach. Learn. Res. Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou
2022	J	`jnl`	Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. CoRR Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
2021	J	`jnl`	A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges. CoRR Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou