Alternatives and similar repositories for DataLens

Users that are interested in DataLens are comparing it to the libraries listed below

• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆54Updated 2 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆109Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆73Updated 4 years ago
• pasquini-dario / SplitNN_FSHA
  Privacy attacks on Split Learning
  ☆42Updated 3 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
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 4 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆54Updated 6 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).
  ☆155Updated 4 years ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆50Updated 3 years ago
• zechenghe / Inverse_Collaborative_Inference
  ☆50Updated 4 years ago
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆74Updated 2 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆37Updated 2 years ago
• git-disl / CPL_attack
  ☆36Updated 3 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated 2 years ago
• XinyiYS / Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning
  Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…
  ☆24Updated last year
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆64Updated last year
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 years ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• gdisag / gradient_disaggregation
  ☆15Updated last year
• DeRafael / CAFE
  ☆22Updated 3 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆58Updated 6 years ago
• AI-secure / DBA
  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
  ☆198Updated 4 years ago
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆30Updated 5 years ago