Rasta Tadayon

Rasta Tadayon

she/her

Publications

You can find my articles on my Google Scholar profile.

Conference Papers

Learning to Lie: Adversarial Attacks on Human-AI Teams and LLMs

Published in The 2026 International Conference on Learning Representations (ICLR'26), 2026

Abed Musaffar, Anand Gokhale, Sirui Zeng, Rasta Tadayon, Xifeng Yan, Ambuj Singh, Francesco Bullo
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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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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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