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Kamalika Chaudhuri

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#artificial intelligence Preprint Sep 2026

Repeat-After-Me: Black-Box Adaptive Visual Prompt Injection

Prompt injection is widely recognized as a major security threat to AI agents that interact with untrusted external data, such as websites, documents, and emails. Prior work has shown that, in the text domain, black-box prompt injection can achieve near-perfect attack success rates (ASRs). In the image domain, however,...

Si-Zhe Chen, Yu-Lin Tsai, Ivan Evtimov et al. · 1 citation
Preprint Aug 2026

Inadvertent Context Leakage in Language Models

Leakage enables two practical attacks: a trained classifier that infers semantic predicates about user memories from routine natural-language outputs, and an RL-trained adversary that extracts full Social Security Numbers from a production-style agent.

Jaiden Fairoze, Neal Mangaokar, Kamalika Chaudhuri et al. · 0 citations

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