Introducing the XLab AI Security Guide
An educational guide with coding replications covering adversarial attacks on image models, LLM jailbreaks, defenses, and fine-tuning-based model tampering, motivated by catastrophic misuse risks.
Research / Sources
LessWrong
AI research and discussion on LessWrong. www.lesswrong.com
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Intriguing Properties of gpt-oss Jailbreaks
Red-teams gpt-oss-20b with a chain-of-thought repetition jailbreak, finding high robustness overall but non-monotonic attack success with repeats, CoT that contradicts final outputs, and hallucinated policies.
Latent Adversarial Training (LAT) Improves the Representation of Refusal
Compares latent adversarial training with standard safety fine-tuning on how refusal is encoded in LLaMA 2 7B. LAT concentrates refusal in top SVD components, yielding more effective refusal-ablation vectors while staying most robust against self-ablation.