jwf40 / Information-Theoretic-Unlearning
Code for the paper 'An Information Theoretic Approach to Machine Unlearning'
☆21Updated last month
Alternatives and similar repositories for Information-Theoretic-Unlearning:
Users that are interested in Information-Theoretic-Unlearning are comparing it to the libraries listed below
- [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening☆47Updated 7 months ago
- ☆44Updated 8 months ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆120Updated 5 months ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao …☆67Updated last year
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆57Updated 6 months ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆26Updated 2 years ago
- ☆63Updated 6 months ago
- ☆20Updated 4 months ago
- Official implementation of the work titled "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay"☆18Updated 2 years ago
- ☆113Updated last year
- What do we learn from inverting CLIP models?☆54Updated last year
- ☆27Updated this week
- ☆14Updated last month
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…☆39Updated 5 months ago
- ☆63Updated last year
- ☆86Updated 2 years ago
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆20Updated 9 months ago
- Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"☆25Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆21Updated 2 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆40Updated last year
- SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22☆29Updated last year
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆105Updated last year
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆24Updated 10 months ago
- ☆18Updated last year
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated 9 months ago
- Official [AAAI] Code Repository for "Continual Learning with Scaled Gradient Projection".☆13Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated 10 months ago
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆68Updated 5 months ago