Alternatives and similar repositories for Deep-Learning-with-GDP-Pytorch:

Users that are interested in Deep-Learning-with-GDP-Pytorch are comparing it to the libraries listed below

• woodyx218 / Deep-Learning-with-GDP-Tensorflow
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆49Updated 3 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆104Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆55Updated last year
• thecml / dpsgd-optimizer
  Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…
  ☆41Updated 10 months ago
• Antonious-Grigis / Shuffled-Model-of-Differential-Privacy-in-Federated-Learning
  Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.
  ☆17Updated 2 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆60Updated 2 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 2 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 3 years ago
• woodyx218 / opacus_global_clipping
  ☆13Updated last year
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆132Updated 3 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆71Updated 3 years ago
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆49Updated 6 years ago
• AlekseiTriastcyn / bayesian-differential-privacy
  Code for the paper "Bayesian Differential Privacy for Machine Learning"
  ☆22Updated 4 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆30Updated 2 years ago
• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆16Updated 2 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆58Updated 4 months ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆47Updated 2 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 4 years ago
• haiphanNJIT / SecureSGD
  Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).
  ☆13Updated 3 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 4 years ago
• Koukyosyumei / Attack_SplitNN
  reveal the vulnerabilities of SplitNN
  ☆30Updated 2 years ago
• abbas5253 / SplitNN-for-Vertically-Partitioned-Data
  Integration of SplitNN for vertically partitioned data with OpenMined's PySyft
  ☆28Updated 4 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• AdamWei-boop / Awesome-Vertical-Federated-Split-Learning
  A summay of existing works on vertical federated/split learning
  ☆15Updated 3 years ago
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆21Updated 5 years ago
• git-disl / CPL_attack
  ☆34Updated 3 years ago
• SPIN-UMass / MembershipWhiteboxAttacks
  ☆15Updated 5 years ago
• Zhaoxian-Wu / Byrd-SAGA
  Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"
  ☆18Updated 4 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆46Updated 6 years ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated last year