mmalekzadeh / honest-but-curious-netsLinks
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)
☆17Updated 2 years ago
Alternatives and similar repositories for honest-but-curious-nets
Users that are interested in honest-but-curious-nets are comparing it to the libraries listed below
Sorting:
- Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks☆44Updated 4 years ago
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆218Updated this week
- ☆148Updated last year
- Knockoff Nets: Stealing Functionality of Black-Box Models☆108Updated 2 years ago
- [NeurIPS 2019] This is the code repo of our novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into va…☆84Updated 2 years ago
- Privacy Testing for Deep Learning☆210Updated last month
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆82Updated 2 years ago
- ☆66Updated 5 years ago
- ☆99Updated 4 years ago
- ☆86Updated last year
- Code release for DeepJudge (S&P'22)☆51Updated 2 years ago
- ☆24Updated 2 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- Membership Inference Competition☆31Updated 2 years ago
- ☆129Updated 3 years ago
- ☆24Updated 2 years ago
- Official Repository for the CVPR 2020 paper "Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs"☆43Updated last year
- ☆44Updated 2 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- Craft poisoned data using MetaPoison☆53Updated 4 years ago
- ☆48Updated 4 years ago
- A curated list of academic events on AI Security & Privacy☆162Updated last year
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆45Updated 5 years ago
- Code for ML Doctor☆90Updated last year
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated 2 years ago
- ☆23Updated 2 years ago
- Universal Robustness Evaluation Toolkit (for Evasion)☆31Updated last month
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago