nlp:llm_safety

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Table of Contents

Large Language Model Safety

Large Language Model Safety

Papers

Zou et al 2023 - Representation Engineering: A Top-Down Approach to AI Transparency
Xu et al 2024 - Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector

Jailbraking LLMs

Zhou et al 2023 - Universal and Transferable Adversarial Attacks on Aligned Language Models
Paulus et al 2024 - AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Related Work

Model Editing

nlp/llm_safety.1714706613.txt.gz · Last modified: 2024/05/03 03:23 by jmflanig