kairanzhao / RUMLinks
[NeurIPS24] "What makes unlearning hard and what to do about it" [NeurIPS24] "Scalability of memorization-based machine unlearning"
☆16Updated last month
Alternatives and similar repositories for RUM
Users that are interested in RUM are comparing it to the libraries listed below
Sorting:
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…☆41Updated 7 months ago
- ☆16Updated last year
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆21Updated last month
- Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"☆15Updated 8 months ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆48Updated last year
- ☆63Updated 8 months ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆124Updated last month
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆22Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆71Updated last year
- [CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP☆26Updated 3 weeks ago
- ☆11Updated 2 years ago
- ☆27Updated 2 years ago
- ☆31Updated 2 years ago
- [CVPR 2023] Adversarial Robustness via Random Projection Filters☆14Updated 2 years ago
- ☆22Updated 9 months ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆20Updated last year
- ☆43Updated 2 years ago
- ☆19Updated last year
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆21Updated last year
- ☆27Updated 2 months ago
- ☆86Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- ☆20Updated last year
- ☆32Updated 5 months ago
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆10Updated last year
- [CVPR 2022 oral] Subspace Adversarial Training☆27Updated 2 years ago
- ☆35Updated 11 months ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆51Updated 6 months ago
- [NeurIPS2023] Black-box Backdoor Defense via Zero-shot Image Purification☆11Updated last year
- Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023☆13Updated 2 years ago