Alternatives and similar repositories for awesome-secure-federated-learning-papers

Users that are interested in awesome-secure-federated-learning-papers are comparing it to the libraries listed below

• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated last year
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 4 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
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆54Updated 6 years ago
• jinyuan-jia / MemGuard
  ☆46Updated 6 years ago
• pasquini-dario / SplitNN_FSHA
  Privacy attacks on Split Learning
  ☆42Updated 4 years ago
• Eyr3 / FLTracer
  FLTracer: Accurate Poisoning Attack Provenance in Federated Learning
  ☆23Updated last year
• xinjianluo / featureinference-vfl
  ☆25Updated 4 years ago
• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆25Updated 4 years ago
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆87Updated 2 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆129Updated last year
• zhenglisec / Label-Only-MIA
  ☆19Updated last year
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆45Updated 5 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 3 years ago
• git-disl / CPL_attack
  ☆36Updated 3 years ago
• hyhmia / BlindMI
  ☆22Updated 3 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆73Updated 4 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆75Updated last year
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• Koukyosyumei / Attack_SplitNN
  reveal the vulnerabilities of SplitNN
  ☆31Updated 3 years ago
• yangzhangalmo / easy-bib
  This is a python script to generate nice bibtex file for latex.
  ☆17Updated 5 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆49Updated 3 years ago
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆157Updated 4 years ago
• TenXxs / AI-Security-for-IoT-and-Mobile
  ☆49Updated 4 years ago
• BHui97 / PrivateFL
  ☆43Updated 2 years ago
• TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate
  The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
  ☆34Updated 3 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆201Updated 8 years ago