zjysteven / PrivacyAttack_AT_FL

Related projects ⓘ

Alternatives and complementary repositories for PrivacyAttack_AT_FL

• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆55Updated last year
• DeRafael / CAFE
  ☆21Updated 3 years ago
• pasquini-dario / SplitNN_FSHA
  Privacy attacks on Split Learning
  ☆37Updated 2 years ago
• zlijingtao / ResSFL
  Official Repository for ResSFL (accepted by CVPR '22)
  ☆20Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆64Updated 2 years ago
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆57Updated 2 years ago
• xinleihe / Semi-Leak
  ☆11Updated 2 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆70Updated 3 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆23Updated last year
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆45Updated 2 years ago
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆63Updated last year
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆31Updated 2 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆34Updated last year
• LukasStruppek / Plug-and-Play-Attacks
  [ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be C…
  ☆37Updated 3 months ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆67Updated 7 months ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 2 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆31Updated 4 years ago
• fmy266 / Pytorch-Backdoor-Unlearning
  Pytorch implementation of backdoor unlearning.
  ☆15Updated 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".
  ☆30Updated 2 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆53Updated last year
• lhfowl / robbing_the_fed
  ☆23Updated 2 years ago
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆32Updated 2 years ago
• shrezaei / MI-Attack
  ☆32Updated 2 months ago
• zhangzp9970 / MIA
  Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
  ☆25Updated last year
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆86Updated 2 months ago
• eth-sri / bayes-framework-leakage
  ☆11Updated 2 years ago
• woodyx218 / opacus_global_clipping
  ☆13Updated last year
• cleverhans-lab / model-extraction-iclr
  ☆13Updated 2 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated last year