Formalizing and Benchmarking Prompt Injection Attacks and Defenses
Analyzes prompt injection attacks in LLMs, evaluates their impact on different models, and benchmarks defenses like Known-Answer Detection.
Security
Jailbreaking Large Language Models: Disguise and Reconstruction Attack (DRA)
Explores how DRA exploits biases in LLM fine-tuning to bypass safety measures with minimal queries, achieving state-of-the-art jailbreak success.