A survey on harmful fine-tuning attack for large language model

GTLLMZoo: A comprehensive framework that aggregates LLM benchmark data from multiple sources with an interactive UI for efficient model comparison, filtering, and evaluation across performance, safety, and efficiency metrics.

A Survey on Large Language Model-Based Game Agents

This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation" (ICLR2025 Oral).

This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".

This is the official code for the paper "Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation"

This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)