SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation

3 January 2025

Papers citing "SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation"

21 / 21 papers shown

Title
Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives Huanran Chen Yinpeng Dong Zeming Wei Yao Huang Yichi Zhang Hang Su Jun Zhu MoMe 59 0 0 23 May 2025
Mitigating Fine-tuning Risks in LLMs via Safety-Aware Probing Optimization Chengcan Wu Zhixin Zhang Zeming Wei Yihao Zhang Meng Sun AAML 50 0 0 22 May 2025
CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning Biao Yi Tiansheng Huang Baolei Zhang Tong Li Lihai Nie Zheli Liu Li Shen MU AAML 45 0 0 22 May 2025
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety Zihan Guan Mengxuan Hu Ronghang Zhu Sheng Li Anil Vullikanti AAML 45 0 0 11 May 2025
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation Yun Wang Tiansheng Huang Li Shen Huanjin Yao Haotian Luo Rui Liu Naiqiang Tan Jiaxing Huang Dacheng Tao AAML MoMe CLL 159 3 0 30 Jan 2025
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness Qi Zhang Yifei Wang Jingyi Cui Xiang Pan Qi Lei Stefanie Jegelka Yisen Wang AAML 83 1 0 27 Oct 2024
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Tiansheng Huang Sihao Hu Fatih Ilhan Selim Furkan Tekin Ling Liu AAML 76 32 0 26 Sep 2024
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data Atilla Akkus Mingjie Li Junjie Chu Junjie Chu Michael Backes Sinem Sav Sinem Sav SILM SyDa 70 3 0 12 Sep 2024
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Tiansheng Huang Sihao Hu Fatih Ilhan Selim Furkan Tekin Ling Liu 94 29 0 28 May 2024
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models Chia-Yi Hsu Yu-Lin Tsai Chih-Hsun Lin Pin-Yu Chen Chia-Mu Yu Chun-ying Huang 91 45 0 27 May 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models Fanxu Meng Zhaohui Wang Muhan Zhang VLM 98 92 0 03 Apr 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning Yichuan Mo Yuji Wang Zeming Wei Yisen Wang AAML SILM 65 28 0 09 Feb 2024
Vaccine: Perturbation-aware Alignment for Large Language Model Tiansheng Huang Sihao Hu Ling Liu 85 39 0 02 Feb 2024
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance Pengyu Wang Dong Zhang Linyang Li Chenkun Tan Xinghao Wang Ke Ren Botian Jiang Xipeng Qiu LLMSV 43 45 0 20 Jan 2024
Fine-tuning can cripple your foundation model; preserving features may be the solution Jishnu Mukhoti Y. Gal Philip Torr P. Dokania CLL 61 37 0 25 Aug 2023
Universal and Transferable Adversarial Attacks on Aligned Language Models Andy Zou Zifan Wang Nicholas Carlini Milad Nasr J. Zico Kolter Matt Fredrikson 160 1,376 0 27 Jul 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 448 3,952 0 18 Apr 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 75 549 1 22 Dec 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 467 41,106 0 28 May 2020
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 207 1,190 0 04 Oct 2018
Dissecting Contextual Word Embeddings: Architecture and Representation Matthew E. Peters Mark Neumann Luke Zettlemoyer Wen-tau Yih 77 429 0 27 Aug 2018