BUAA-BDA / PrivacyComputing-PaperList

Related projects ⓘ

Alternatives and complementary repositories for PrivacyComputing-PaperList

• git-disl / AdaTrace
  Utility-aware synthesis of differentially private and attack-resilient location traces
  ☆21Updated 5 years ago
• lunan0320 / FedPHE
  Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
  ☆14Updated last month
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆45Updated last year
• Koukyosyumei / Attack_SplitNN
  reveal the vulnerabilities of SplitNN
  ☆30Updated 2 years ago
• NigeloYang / federated_learning_differential_privacy
  A foundational platform that primarily shares federated learning, differential privacy content
  ☆19Updated this week
• git-disl / CLDP
  Secure and utility-aware data collection with condensed local differential privacy
  ☆16Updated 4 years ago
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆78Updated last year
• SamuelGong / FLASHE
  [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
  ☆18Updated 10 months ago
• PPAattack / PPAattack
  PPA attack code
  ☆12Updated 2 years ago
• AI-secure / LinkTeller
  [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …
  ☆21Updated 3 years ago
• ltzheng / data-privacy
  Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …
  ☆57Updated 2 years ago
• dp-cont / dp-cont
  ☆12Updated 2 years ago
• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆16Updated 2 years ago
• mofanv / PPFL
  Privacy-preserving Federated Learning with Trusted Execution Environments
  ☆62Updated last year
• avdvg / VFL-Survey
  ☆34Updated 3 years ago
• BHui97 / PrivateFL
  ☆36Updated last year
• ZhangIvan1 / Efficient-Privacy-Preserving-Federated-Learning-With-Improved-Compressed-Sensing
  The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"
  ☆19Updated 5 months ago
• hharcolezi / ldp-protocols-mobility-cdrs
  Implementation of local differential privacy mechanisms in Python language.
  ☆28Updated 2 years ago
• thecml / dpsgd-optimizer
  Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…
  ☆41Updated 6 months ago
• DistributedML / FoolsGold
  A sybil-resilient distributed learning protocol.
  ☆94Updated last year
• heroding77 / fedavg_encrypt
  FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…
  ☆105Updated last month
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆61Updated 4 years ago
• sisaman / LDP-mechanisms
  PyTorch implementation of a number of mechanisms in local differential privacy
  ☆13Updated 2 years ago
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆43Updated last year
• lishenghui / blades
  Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
  ☆132Updated 3 months ago
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆179Updated 2 years ago
• XinyiYS / Robust-and-Fair-Federated-Learning
  Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …
  ☆33Updated 5 months ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 3 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 3 years ago
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆116Updated last year