Alternatives and similar repositories for machine-unlearning

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

• HongshengHu / membership-inference-machine-learning-literature
  ☆359Updated this week
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆49Updated 3 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆72Updated last year
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆129Updated last year
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated last year
• AndrewZhou924 / Awesome-model-inversion-attack
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
  ☆209Updated 5 months ago
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆38Updated 4 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆65Updated last year
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆157Updated 4 years ago
• 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
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 3 years ago
• JonasGeiping / invertinggradients
  Algorithms to recover input data from their gradient signal through a neural network
  ☆307Updated 2 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆60Updated 6 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 6 years ago
• JonasGeiping / breaching
  Breaching privacy in federated learning scenarios for vision and text
  ☆307Updated 2 months ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆134Updated 3 months ago
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆201Updated 8 years ago
• AhmedSalem2 / ML-Leaks
  Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
  ☆85Updated 3 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆110Updated 2 years ago
• meghdadk / SCRUB
  ☆49Updated last year
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 4 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆152Updated 2 years ago
• yonsei-sslab / MIA
  🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
  ☆35Updated 3 years ago
• usnistgov / trojai-literature
  ☆149Updated last year
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• AI-secure / DBA
  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
  ☆199Updated 4 years ago
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆105Updated last year
• AI-secure / GMI-Attack
  ☆32Updated 4 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆69Updated 4 years ago