uds-lsv / SIDP

Related projects: ⓘ

• ftramer / Handcrafted-DP
  ☆77Updated 2 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 4 years ago
• LPD-EPFL / ByzantineMomentum
  Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)
  ☆19Updated 3 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆33Updated last year
• woodyx218 / opacus_global_clipping
  ☆13Updated last year
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 2 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆29Updated 2 years ago
• epfml / byzantine-robust-noniid-optimizer
  ☆15Updated 2 years ago
• gdisag / gradient_disaggregation
  ☆14Updated 8 months ago
• jeremy43 / Private_kNN
  ☆24Updated 2 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆46Updated 6 years ago
• OscarcarLi / label-protection
  Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).
  ☆22Updated 2 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆40Updated last year
• DingfanChen / GS-WGAN
  Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)
  ☆65Updated last year
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆55Updated last month
• shilab / DP-MIA
  Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data
  ☆16Updated 4 years ago
• xcgoner / icml2019_zeno
  ☆14Updated 5 years ago
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆31Updated 4 years ago
• mkhodak / FedEx
  ☆12Updated 3 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆52Updated last year
• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆21Updated 3 years ago
• Donglin-Wang / LotteryEnsemble
  A repository for LotteryFL re-implementation and experiments
  ☆12Updated 3 years ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆42Updated 2 years ago
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆139Updated 3 years ago
• gaow0007 / ATSPrivacy
  AutoML, Privacy Preserving, Federated Learning
  ☆25Updated last year
• pasquini-dario / SplitNN_FSHA
  Privacy attacks on Split Learning
  ☆37Updated 2 years ago
• zechenghe / Inverse_Collaborative_Inference
  ☆38Updated 3 years ago
• woodyx218 / Deep-Learning-with-GDP-Tensorflow
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆47Updated 3 years ago