fine-tuning attack

A Robust Unlearning Method with Adaptive Knowledge Guidance and Memory Preservation AAAI 2026 CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning ACL 2026 OASIS: Mitigating Harmful Fine-tuning Attacks on LLMs via Orthogonal and Adaptive Safety Alignment Strategy ACL 2026 Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack ICML 2025 Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility EMNLP 2025 NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning AAAI 2025 Safety Alignment Should be Made More Than Just a Few Tokens Deep ICLR 2025 SDD: Self-Degraded Defense against Malicious Fine-tuning ACL 2025 Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks NAACL 2025 BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment NeurIPS 2024 Immunization against harmful fine-tuning attacks EMNLP 2024 Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack NeurIPS 2024 On the Vulnerability of Safety Alignment in Open-Access LLMs ACL 2024 Representation Noising: A Defence Mechanism Against Harmful Finetuning NeurIPS 2024 Grey-box Extraction of Natural Language Models ICML 2021