The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. - Aparna Balagopalan; Haoran Zhang 003; Kimia Hamidieh; Thomas Hartvigsen; Frank Rudzicz; Marzyeh Ghassemi (FAccT, 2022)

Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning. - Natalie Dullerud; Karsten Roth; Kimia Hamidieh; Nicolas Papernot; Marzyeh Ghassemi (ICLR, 2022)

Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types. - Amin Ghareyazi; Amirreza Kazemi; Kimia Hamidieh; Hamed Dashti; Maedeh-sadat Tahaei; Hamid R. Rabiee; Hamid Alinejad-Rokny; Iman Dehzangi (BMC Bioinform., 2022)

Selective Classification Via Neural Network Training Dynamics. - Stephan Rabanser; Anvith Thudi; Kimia Hamidieh; Adam Dziedzic; Nicolas Papernot (CoRR, 2022)

Identifying Implicit Social Biases in Vision-Language Models. - Kimia Hamidieh; Haoran Zhang 003; Walter Gerych; Thomas Hartvigsen; Marzyeh Ghassemi (AIES (1), 2024)

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation. - Kimia Hamidieh; Haoran Zhang 003; Swami Sankaranarayanan; Marzyeh Ghassemi (ICLR, 2024)

BendVLM: Test-Time Debiasing of Vision-Language Embeddings. - Walter Gerych; Haoran Zhang 003; Kimia Hamidieh; Eileen Pan; Maanas K. Sharma; Tom Hartvigsen; Marzyeh Ghassemi (NeurIPS, 2024)

Improving Subgroup Robustness via Data Selection. - Saachi Jain; Kimia Hamidieh; Kristian Georgiev; Andrew Ilyas; Marzyeh Ghassemi; Aleksander Madry (NeurIPS, 2024)

Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection. - Saachi Jain; Kimia Hamidieh; Kristian Georgiev; Andrew Ilyas; Marzyeh Ghassemi; Aleksander Madry (CoRR, 2024)

Selective Prediction via Training Dynamics. - Stephan Rabanser; Anvith Thudi; Kimia Hamidieh; Adam Dziedzic; Israfil Bahceci; Akram Bin Sediq; Hamza Umit Sokun; Nicolas Papernot (Trans. Mach. Learn. Res., 2025)