Ctf Ai Ml

When you hit an AI/ML challenge in a CTF and need to extract flags from neural networks, break LLM guardrails, or craft adversarial examples, this gives you the playbook. It covers model weight manipulation (negating fine-tuning deltas, merging LoRA adapters), classic attacks like FGSM and PGD, prompt injection techniques, membership inference, and model extraction via API queries. The quick start commands are genuinely useful for inspecting PyTorch checkpoints, safetensors files, and HuggingFace models. Honestly, the referenced markdown files do the heavy lifting here, but the triage section helpfully tells you when to pivot to crypto or reverse engineering skills instead.