Researcher profile
Krishna Pillutla
2 papers in the PaperMetrix corpus
Publications
Papers by this author
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User Inference Attacks on Large Language Models
2023 · arXiv (Cornell University)
Fine-tuning is a common and effective method for tailoring large language models (LLMs) to specialized tasks and applications. In this paper, we study the privacy implications of fine-tuning LLMs on user data. To this end, …
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Learning with User-Level Differential Privacy Under Fixed Compute Budgets
2025
We investigate practical and scalable algorithms for training machine learning models with user-level differential privacy (DP) in order to provably safeguard all the examples contributed by each user. Motivated by the application of large language …