Alternatives and similar repositories for membership-inference-machine-learning-literature

Users that are interested in membership-inference-machine-learning-literature are comparing it to the libraries listed below

• cleverhans-lab / machine-unlearning
  ☆195Updated 2 years ago
• AndrewZhou924 / Awesome-model-inversion-attack
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
  ☆209Updated 5 months ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆72Updated last year
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆201Updated 8 years ago
• SCLBD / BackdoorBench
  ☆554Updated 4 months ago
• zihao-ai / Awesome-Backdoor-in-Deep-Learning
  A curated list of papers & resources on backdoor attacks and defenses in deep learning.
  ☆221Updated last year
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆129Updated last year
• penghui-yang / awesome-data-poisoning-and-backdoor-attacks
  A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)
  ☆279Updated 10 months ago
• yonsei-sslab / MIA
  🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
  ☆35Updated 3 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆49Updated 3 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated last year
• AI-secure / GMI-Attack
  ☆32Updated 4 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆65Updated last year
• ybdai7 / Chameleon-durable-backdoor
  [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…
  ☆42Updated 2 months 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
• qzzqzzb / A3FL
  ☆28Updated 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
• sail-research / iba
  IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)
  ☆38Updated 2 months 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
• JonasGeiping / breaching
  Breaching privacy in federated learning scenarios for vision and text
  ☆307Updated 2 months ago
• JonasGeiping / invertinggradients
  Algorithms to recover input data from their gradient signal through a neural network
  ☆307Updated 2 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 4 years ago
• vio1etus / FLPoison
  FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning
  ☆40Updated last month
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆105Updated last year
• ffhibnese / Model-Inversion-Attack-ToolBox
  A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.
  ☆184Updated last month
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆152Updated 2 years ago
• AI-secure / DBA
  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
  ☆199Updated 4 years ago
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆157Updated 4 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• ebagdasa / backdoors101
  Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
  ☆373Updated 2 years ago