Thudi, Anvith

7 publications

ICML 2025 Fast Exact Unlearning for In-Context Learning Data for LLMs Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot

ICML 2025 Leveraging Per-Instance Privacy for Machine Unlearning Nazanin Mohammadi Sepahvand, Anvith Thudi, Berivan Isik, Ashmita Bhattacharyya, Nicolas Papernot, Eleni Triantafillou, Daniel M. Roy, Gintare Karolina Dziugaite

ICLR 2025 MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures Anvith Thudi, Chris J. Maddison

ICML 2025 MixMin: Finding Data Mixtures via Convex Minimization Anvith Thudi, Evianne Rovers, Yangjun Ruan, Tristan Thrush, Chris J. Maddison

TMLR 2025 Selective Prediction via Training Dynamics Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Israfil Bahceci, Akram Bin Sediq, Hamza Sokun, Nicolas Papernot

TMLR 2024 From Differential Privacy to Bounds on Membership Inference: Less Can Be More Anvith Thudi, Ilia Shumailov, Franziska Boenisch, Nicolas Papernot

NeurIPS 2023 Training Private Models That Know What They Don’t Know Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot