Hossein Mirzaei

According to our database, Hossein Mirzaei authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, July, 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, Bahar Dibaei Nia, Kian Shamsaie, Mohammadreza Salehi, Mackenzie W. Mathis, Mahdieh Soleymani Baghshah, Mohammad Sabokrou, Mohammad Hossein Rohban

CoRR, January, 2025

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection.

Hossein Mirzaei, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

CoRR, January, 2025

Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation.

Hossein Mirzaei, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings.

Hossein Mirzaei, Mackenzie W. Mathis

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Backdooring Outlier Detection Methods: A Novel Attack Approach.

Zeinab Taghavi, Hossein Mirzaei

CoRR, 2024

Scanning Trojaned Models Using Out-of-Distribution Samples.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Trans. Mach. Learn. Res., 2022

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