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Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Large Language Models (LLMs) are swiftly advancing in architecture and capability, and as they integrate more deeply into complex systems, the urgency to scrutinize their security properties grows.
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Specifically, we develop cross-modality attacks on alignment where we pair adversarial images going through the vision encoder with textual prompts to break the alignment of the language model.
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