OPTML-Group / Unlearn-SparseLinks
[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
☆76Updated last year
Alternatives and similar repositories for Unlearn-Sparse
Users that are interested in Unlearn-Sparse are comparing it to the libraries listed below
Sorting:
- ☆46Updated 11 months ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 8 months ago
- ☆13Updated 2 years ago
- ☆57Updated 5 years ago
- ☆86Updated 2 years ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆128Updated 2 months ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆22Updated 2 months ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated last year
- ☆22Updated 8 months ago
- ☆53Updated 2 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated 2 years ago
- ☆12Updated 2 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆31Updated last year
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆39Updated 11 months ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆19Updated 2 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Updated 2 years ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆22Updated last year
- Camouflage poisoning via machine unlearning☆17Updated last month
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆39Updated last year
- ☆19Updated last year
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated last year
- ☆31Updated 2 years ago
- ☆33Updated last year
- Certified Removal from Machine Learning Models☆67Updated 3 years ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 3 years ago
- This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…☆29Updated last year
- [CCS-LAMPS'24] LLM IP Protection Against Model Merging☆15Updated 9 months ago
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆57Updated last year