jinyuan-jia / AttriGuardLinks
☆24Updated 6 years ago
Alternatives and similar repositories for AttriGuard
Users that are interested in AttriGuard are comparing it to the libraries listed below
Sorting:
- ☆26Updated 6 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 5 months ago
- ☆58Updated 3 years ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Updated 4 years ago
- ☆14Updated 4 years ago
- ☆46Updated 6 years ago
- This is a python script to generate nice bibtex file for latex.☆17Updated 5 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Updated 6 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆200Updated 8 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆31Updated 8 years ago
- ☆16Updated 6 years ago
- Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)☆19Updated last year
- ☆32Updated 3 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆47Updated 3 years ago
- walk2friends: Inferring Social Links from Mobility Profiles☆22Updated 7 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆73Updated 7 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 3 years ago
- ☆29Updated 2 years ago
- Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'☆53Updated 4 years ago
- ☆22Updated 3 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 4 years ago
- ☆149Updated last year
- ☆66Updated 6 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 5 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆27Updated 2 years ago
- Membership Inference Attack against Graph Neural Networks☆12Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 6 years ago
- Code release for DeepJudge (S&P'22)☆52Updated 2 years ago