jinyuan-jia / AttriGuard

Related projects ⓘ

Alternatives and complementary repositories for AttriGuard

• SPIN-UMass / ML-Privacy-Regulization
  ☆25Updated 5 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆44Updated 4 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆45Updated last year
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆19Updated 4 years ago
• lmunoz-gonzalez / Poisoning-Attacks-with-Back-gradient-Optimization
  Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"
  ☆21Updated 5 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
• xinleihe / GNNStealing
  ☆31Updated 2 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• yangzhangalmo / easy-bib
  This is a python script to generate nice bibtex file for latex.
  ☆16Updated 4 years ago
• DingfanChen / GAN-Leaks
  Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)
  ☆47Updated 2 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 3 years ago
• KaidiXu / GCN_ADV_Train
  Adversarial training for Graph Neural Networks
  ☆59Updated 3 years ago
• jinyuan-jia / Certify_Topk
  ☆11Updated 4 years ago
• hyhmia / BlindMI
  ☆23Updated 2 years ago
• samuel-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 5 years ago
• jagielski / manip-ml
  Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'
  ☆52Updated 3 years ago
• xcgoner / icml2019_zeno
  ☆14Updated 5 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆31Updated 4 years ago
• csong27 / ml-model-remember
  Code for Machine Learning Models that Remember Too Much (in CCS 2017)
  ☆30Updated 7 years ago
• Testing4AI / DeepJudge
  Code release for DeepJudge (S&P'22)
  ☆51Updated last year
• rdz98 / PoisonFedDLRS
  Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios
  ☆18Updated 2 years ago
• yashkant / model-inversion-attack
  Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…
  ☆81Updated last year
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆47Updated 3 years ago
• Henrygwb / Explaining-DL
  ☆55Updated 5 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆56Updated last month
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆23Updated 2 years ago
• hwang595 / DETOX
  DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
  ☆16Updated 4 years ago
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆27Updated last year
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆86Updated 3 months ago
• google-research / public-data-in-dpfl
  ☆22Updated last year