Alternatives and similar repositories for PPDL

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

• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆54Updated 6 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆151Updated 2 years ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆194Updated 7 years ago
• ebagdasa / backdoor_federated_learning
  Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
  ☆304Updated last year
• lee-man / federated-learning
  Related material on Federated Learning
  ☆26Updated 5 years ago
• DistributedML / FoolsGold
  A sybil-resilient distributed learning protocol.
  ☆105Updated last week
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆73Updated 4 years ago
• yashkant / model-inversion-attack
  Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…
  ☆85Updated 2 years ago
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆155Updated 4 years ago
• AI-secure / DBA
  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
  ☆197Updated 4 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 3 years ago
• csong27 / ml-model-remember
  Code for Machine Learning Models that Remember Too Much (in CCS 2017)
  ☆31Updated 7 years ago
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆30Updated 5 years ago
• lucifer2859 / Paillier-LWE-based-PHE
  Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
  ☆71Updated 4 years ago
• Jaskiee / GAN-Attack-against-Federated-Deep-Learning
  The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
  ☆62Updated 2 years ago
• ssg-research / WAFFLE
  WAFFLE: Watermarking in Federated Learning
  ☆21Updated 2 years ago
• csl-cqu / awesome-secure-federated-learning-papers
  ☆29Updated 2 years ago
• lainisourgod / hybrid-approach-to-ppfl
  This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)
  ☆23Updated 5 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆95Updated 4 years ago
• pasquini-dario / SplitNN_FSHA
  Privacy attacks on Split Learning
  ☆42Updated 3 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• cpwan / Attack-Adaptive-Aggregation-in-Federated-Learning
  This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
  ☆45Updated 2 years ago
• LPD-EPFL / ByzantineMomentum
  Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)
  ☆22Updated 4 years ago
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆64Updated 5 years ago
• pps-lab / rofl-project-code
  ☆33Updated 2 years ago
• woodyx218 / Deep-Learning-with-GDP-Tensorflow
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆49Updated 4 years ago
• git-disl / DataPoisoning_FL
  Code for Data Poisoning Attacks Against Federated Learning Systems
  ☆200Updated 4 years ago
• Lab41 / cyphercat
  Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …
  ☆103Updated 5 years ago