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I am a Master's student at Sharif University of Technology in Computer Engineering, supervised by Prof. MohammadHossein Rohban in the RIML Lab. In recent years, I have been conducting research in the RIML Lab under the supervision of Prof. MohammadHossein Rohban, closely collaborating with Prof. Mohammad Sabokrou. Previously, I received my Bachelor of Science in Computer Engineering from Iran University of Science and Technology. During the final year of my Bachelor's, I was a research assistant at CVLab IUST, working under the supervision of Prof. Mohammad Reza Mohammadi. Email / CV / Google Scholar / Github / LinkedIn |
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I have extensive research experience in trustworthiness and reliability machine learning models and have a strong academic interest in developing robust machine learning algorithms, especially within the domains of computer vision and natural language processing (NLP). |
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Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad AzizMalayeri, Jafar Habibi, Mohammad Sabokrou, MohammadHossein Rohban CVPR, 2024 arXiv / code
Addressing a critical practical challenge within the domain of image-based anomaly detection, our research confronts the absence of a universally applicable and adaptable methodology that can be tailored to diverse datasets characterized by distinct inductive biases. |
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Hossein Mirzaei, Ali Ansari, Bahar Nia , Mojtaba Nafez, Moein Madadi, Sepehr Rezaee, Zeinab Taghavi, Arad Maleki, Kian Shamsaie, Hajialilue, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban NeurIPS, 2024 Acceptance News!
In this research, our problem was to identify whether a given model was backdoored or not. The study finds that backdoored models exhibit jagged decision boundaries around out-of-distribution (OOD) samples, leading to reduced robustness. |
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Design and source code from Jon Barron's website. |