FAIM: Fair Imputation with Adversarial Training for Mitigating Bias in Missing Data
Published in ICML 2025 Workshop on DataWorld: Unifying Data Curation Frameworks Across Domains, 2025
Rasta Tadayon, Haewon Jeong, Ramtin Pedarsani
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Publications
You can find my articles on my Google Scholar profile.
Conference Papers
Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs
Published in ICLR 2025 Workshop on Human-AI Coevolution (HAIC), 2025
Abed Musaffar, Anand Gokhale, Sirui Zeng, Rasta Tadayon, Xifeng Yan, Ambuj Singh, Francesco Bullo
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Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images
Published in The 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’25), 2025
Tian Qiu, Arjun Nichani, Rasta Tadayon, Haewon Jeong
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Gone With the Bits: Benchmarking Bias in Facial Phenotype Degradation Under Low-Rate Neural Compression
Published in ICML 2024 Workshop NextGenAISafety, 2024
Tian Qiu, Arjun Nichani, Rasta Tadayon, Haewon Jeong
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