3 papers
cs.LG2026
Natural Identifiers for Privacy and Data Audits in Large Language Models
Lorenzo Rossi, BartÅomiej Marek, Franziska Boenisch +1
Assessing the privacy of large language models (LLMs) presents significant challenges. In particular, most existing methods for auditing differential privacy require the insertion…
cs.LG2026
Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models
BartÅomiej Marek, Lorenzo Rossi, Vincent Hanke +4
Recent work has applied differential privacy (DP) to adapt large language models (LLMs) for sensitive applications, offering theoretical guarantees. However, its practical effectiv…
cs.CR2025
Membership Inference Attacks on Sequence Models
Lorenzo Rossi, Michael Aerni, Jie Zhang +1
Sequence models, such as Large Language Models (LLMs) and autoregressive image generators, have a tendency to memorize and inadvertently leak sensitive information. While this tend…