Alternatives and similar repositories for SelectiveForgetting

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

• meghdadk / SCRUB
  ☆51Updated last year
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆83Updated last year
• shash42 / Evaluating-Inexact-Unlearning
  ☆12Updated 2 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆69Updated 4 years ago
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆24Updated 8 months ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 3 years ago
• orientino / lira-pytorch
  Likelihood Ratio Attack (LiRA) in PyTorch
  ☆17Updated 11 months ago
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆38Updated 5 years ago
• lhfowl / robbing_the_fed
  ☆26Updated 4 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆71Updated last year
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆42Updated last year
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆19Updated 7 months ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆50Updated 3 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆27Updated last year
• ml-postech / gradient-inversion-generative-image-prior
  ☆47Updated 4 years ago
• YuxinWenRick / canary-in-a-coalmine
  ☆33Updated 2 years ago
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆62Updated 3 years ago
• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 3 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆24Updated 3 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆63Updated 2 years ago
• cleverhans-lab / machine-unlearning
  ☆198Updated 2 years ago
• illidanlab / inversion-influence-function
  Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
  ☆16Updated 2 years ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆17Updated 3 years ago
• Hazelsuko07 / EMA
  ☆16Updated 4 years ago
• drimpossible / corrective-unlearning-bench
  ☆21Updated last month
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 3 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆68Updated 4 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆110Updated 3 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆73Updated 3 years ago