2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 2 cited
Your Out-of-Distribution Detection Method is Not Robust!
Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei +3
Out-of-distribution (OOD) detection has recently gained substantial attention due to the importance of identifying out-of-domain samples in reliability and safety. Although OOD det…
cs.LG2021★ 1 cited
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training
Mohammad Azizmalayeri, Mohammad Hossein Rohban
Recent improvements in deep learning models and their practical applications have raised concerns about the robustness of these models against adversarial examples. Adversarial tra…