ndb796 / MachineUnlearning
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems
☆59Updated 3 months ago
Alternatives and similar repositories for MachineUnlearning
Users that are interested in MachineUnlearning are comparing it to the libraries listed below
Sorting:
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆67Updated last year
- ☆20Updated last year
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆121Updated 6 months ago
- ☆44Updated 8 months ago
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…☆40Updated 6 months ago
- ☆28Updated 10 months ago
- ☆54Updated last year
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆68Updated 6 months ago
- ☆135Updated last month
- [MM '24] EvilEdit: Backdooring Text-to-Image Diffusion Models in One Second☆19Updated 5 months ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆34Updated 8 months ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆22Updated 7 months ago
- [ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementati…☆43Updated 5 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆58Updated 7 months ago
- Methods for removing learned data from neural nets and evaluation of those methods☆37Updated 4 years ago
- Official repo for An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization☆13Updated last year
- ☆56Updated 4 years ago
- ☆27Updated 3 weeks ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆42Updated last year
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆26Updated last year
- ☆42Updated 3 months ago
- Official repo to reproduce the paper "How to Backdoor Diffusion Models?" published at CVPR 2023☆89Updated this week
- ☆32Updated 9 months ago
- This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…☆22Updated last year
- [ICML 2024] Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models☆22Updated 8 months ago
- ☆29Updated 11 months ago
- ☆12Updated last year
- ☆62Updated 7 months ago
- [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models☆22Updated last year
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆49Updated 2 years ago