Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. - Hossein Mirzaei; Mohammadreza Salehi; Sajjad Shahabi; Efstratios Gavves; Cees G. M. Snoek; Mohammad Sabokrou; Mohammad Hossein Rohban (CoRR, 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 001; Mohammad Hossein Rohban; Mohammad Sabokrou (Trans. Mach. Learn. Res., 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 (ICLR, 2023)

Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework. - Arshia Soltani Moakhar; Mohammad Azizmalayeri; Hossein Mirzaei; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CoRR, 2023)

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 (CVPR, 2024)

Killing It With Zero-Shot: Adversarially Robust Novelty Detection. - Hossein Mirzaei; Mohammad Jafari; Hamid Reza Dehbashi; Zeinab Sadat Taghavi; Mohammad Sabokrou; Mohammad Hossein Rohban (ICASSP, 2024)

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples. - Hossein Mirzaei; Mohammad Jafari; Hamid Reza Dehbashi; Ali Ansari 001; Sepehr Ghobadi; Masoud Hadi; Arshia Soltani Moakhar; Mohammad Azizmalayeri; Mahdieh Soleymani Baghshah; Mohammad Hossein Rohban (ICML, 2024)

Scanning Trojaned Models Using Out-of-Distribution Samples. - Hossein Mirzaei; Ali Ansari 001; Bahar Dibaei Nia; Mojtaba Nafez; Moein Madadi; Sepehr Rezaee; Zeinab Taghavi 001; Arad Maleki; Kian Shamsaie; Mahdi Hajialilue; Jafar Habibi; Mohammad Sabokrou; et al. (NeurIPS, 2024)

Backdooring Outlier Detection Methods: A Novel Attack Approach. - Zeinab Taghavi 001; Hossein Mirzaei (CoRR, 2024)

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

Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation. - Hossein Mirzaei; Mojtaba Nafez; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban (ICLR, 2025)

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection. - Hossein Mirzaei; Mojtaba Nafez; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban (CoRR, 2025)

A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts. - Hossein Mirzaei; Mojtaba Nafez; Moein Madadi; Arad Maleki; Mahdi Hajialilue; Zeinab Sadat Taghavi; Sepehr Rezaee; Ali Ansari 001; Bahar Dibaei Nia; Kian Shamsaie; Mohammadreza Salehi; Mackenzie W. Mathis; et al. (CoRR, 2025)

DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion. - Hossein Mirzaei; Zeinab Taghavi 001; Sepehr Rezaee; Masoud Hadi; Moein Madadi; Mackenzie W. Mathis (CoRR, 2025)