Matthew Jagielski

Venues

Frequent coauthors

Papers

1. Differentially Private Prototypes for Imbalanced Transfer Learning
   AAAI 2025 ·

   Dariush Wahdany

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2. Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
   ICML 2025 ·

   Yangsibo Huang

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3. Exploring the limits of strong membership inference attacks on large language models
   NeurIPS 2025 ·

   Jamie Hayes

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4. Language Models May Verbatim Complete Text They Were Not Explicitly Trained On
   ICML 2025 ·

   Ken Liu

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5. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
   NeurIPS 2025 ·

   A. Feder Cooper

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6. On Evaluating the Durability of Safeguards for Open-Weight LLMs
   ICLR 2025 ·

   Xiangyu Qi

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7. Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
   ACL 2025 ·

   Jaydeep Borkar

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8. Scalable Extraction of Training Data from Aligned, Production Language Models
   ICLR 2025 ·

   Milad Nasr

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9. The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
   ICLR 2025 ·

   Milad Nasr

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10. Auditing Private Prediction
    ICML 2024 ·

    Karan Chadha

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11. Stealing part of a production language model
    ICML 2024 ·

    Nicholas Carlini

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12. Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
    NAACL 2024 ·

    Aldo G. Carranza

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