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
☆81Updated 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:
- ☆47Updated last year
- ☆58Updated 5 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 4 months ago
- ☆13Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 10 months ago
- ☆14Updated 2 years ago
- ☆87Updated 2 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆41Updated last year
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆132Updated 4 months ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆39Updated last year
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated last year
- ☆19Updated last year
- ☆32Updated 3 years ago
- ☆23Updated 10 months 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
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆22Updated last year
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated last month
- Camouflage poisoning via machine unlearning☆17Updated 3 months ago
- ☆32Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆31Updated last year
- ☆24Updated last year
- ☆53Updated 2 years ago
- [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening☆55Updated last year
- ☆44Updated 3 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago