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cs.CL2024
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas +2
Membership Inference Attacks (MIAs) on pre-trained Large Language Models (LLMs) aim at determining if a data point was part of the model's training set. Prior MIAs that are built f…
cs.CL2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey
Victoria Smith, Ali Shahin Shamsabadi, Carolyn Ashurst +1
Large Language Models (LLMs) have shown greatly enhanced performance in recent years, attributed to increased size and extensive training data. This advancement has led to widespre…