Abroshan, Mahed

8 publications

AISTATS 2024 Imposing Fairness Constraints in Synthetic Data Generation Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili

NeurIPS 2024 SuperDeepFool: A New Fast and Accurate Minimal Adversarial Attack Alireza Abdollahpoorrostam, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli

ICML 2023 Loss Balancing for Fair Supervised Learning Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan

AAAI 2023 Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili

AISTATS 2022 An Information-Theoretical Approach to Semi-Supervised Learning Under Covariate-Shift Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel Rodrigues

NeurIPSW 2022 Counterfactual Fairness in Synthetic Data Generation Mahed Abroshan, Mohammad Mahdi Khalili, Andrew Elliott

NeurIPS 2021 Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan

AAAI 2021 Improving Fairness and Privacy in Selection Problems Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi