Alternatives and similar repositories for MachineUnlearning

Users that are interested in MachineUnlearning are comparing it to the libraries listed below

• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆81Updated last year
• OPTML-Group / Unlearn-Saliency
  [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…
  ☆141Updated 6 months ago
• NYU-DICE-Lab / circumventing-concept-erasure
  ☆22Updated 2 years ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆42Updated last year
• vsingh-group / LCODEC-deep-unlearning
  Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
  ☆25Updated 3 years ago
• aandyjeon / UBNet
  CVPR2022
  ☆27Updated last year
• reds-lab / CLIP-MIA
  This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…
  ☆24Updated 2 years ago
• VITA-Group / Shake-to-Leak
  [SatML 2024] Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk
  ☆15Updated 8 months ago
• ml-postech / gradient-inversion-generative-image-prior
  ☆47Updated 3 years ago
• meghdadk / SCRUB
  ☆49Updated last year
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆23Updated 6 months ago
• YuxinWenRick / canary-in-a-coalmine
  ☆32Updated 2 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆18Updated 5 months ago
• AdityaGolatkar / SelectiveForgetting
  ☆58Updated 5 years ago
• haowang02 / EvilEdit
  [MM '24] EvilEdit: Backdooring Text-to-Image Diffusion Models in One Second
  ☆26Updated last year
• alinlab / consistency-adversarial
  Consistency Regularization for Adversarial Robustness (AAAI 2022)
  ☆53Updated 3 years ago
• yfchen1994 / poisoning_membership
  ☆20Updated last month
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆39Updated last year
• tianyu139 / friendly-noise
  Code for Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks (NeurIPS 2022)
  ☆10Updated 2 years ago
• chenweixin107 / TrojDiff
  ☆59Updated 3 years ago
• franciscoliu / Awesome-GenAI-Unlearning
  ☆178Updated 3 weeks ago
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆37Updated 7 months ago
• inspire-group / tta_risk
  ☆14Updated 2 years ago
• ziquanliu / CVPR2023-TWINS
  Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023
  ☆13Updated 2 years ago
• joycenerd / P4D
  [ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementati…
  ☆51Updated last year
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆27Updated last year
• guillaumejs2403 / ACE
  This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''
  ☆46Updated 8 months ago
• OPTML-Group / AdvUnlearn
  Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…
  ☆50Updated last year
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆23Updated 3 years ago
• MartinPawelczyk / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆28Updated 2 years ago