Alternatives and similar repositories for bad-teaching-unlearning

Users that are interested in bad-teaching-unlearning are comparing it to the libraries listed below

• vikram2000b / Fast-Machine-Unlearning
  ☆37Updated 4 years ago
• ayushkumartarun / zero-shot-unlearning
  Official repo of the paper Zero-Shot Machine Unlearning accepted in IEEE Transactions on Information Forensics and Security
  ☆46Updated 2 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆72Updated last year
• meghdadk / SCRUB
  ☆49Updated last year
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆38Updated 5 years ago
• AdityaGolatkar / SelectiveForgetting
  ☆58Updated 5 years ago
• 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
• cleverhans-lab / machine-unlearning
  ☆196Updated 2 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 3 years ago
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆106Updated last year
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆49Updated 3 years ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆17Updated 3 years ago
• orientino / lira-pytorch
  Likelihood Ratio Attack (LiRA) in PyTorch
  ☆17Updated 8 months ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆42Updated last year
• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 2 years ago
• Sungwon-Han / FEDCPA
  ☆16Updated 2 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, …
  ☆23Updated 6 months ago
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
  ☆108Updated 3 weeks ago
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆61Updated 3 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆67Updated last year
• MinghuiChen43 / awesome-trustworthy-deep-learning
  A curated list of trustworthy deep learning papers. Daily updating...
  ☆378Updated 3 weeks ago
• if-loops / selective-synaptic-dampening
  [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
  ☆55Updated last year
• AndrewZhou924 / Awesome-model-inversion-attack
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
  ☆208Updated 6 months ago
• illidanlab / FedRBN
  [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
  ☆27Updated 2 years ago
• yonsei-sslab / MIA
  🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
  ☆35Updated 3 years ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆54Updated 2 years ago
• sangamesh-kodge / class_forgetting
  [Deep Unlearning-PyTorch] Class Forgetting as in paper "Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetti…
  ☆15Updated last year
• TASI-LAB / Unlearning-inversion-attacks
  This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…
  ☆20Updated last year
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 3 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆23Updated 3 years ago