TenXxs / AI-Security-for-IoT-and-MobileLinks
☆49Updated 4 years ago
Alternatives and similar repositories for AI-Security-for-IoT-and-Mobile
Users that are interested in AI-Security-for-IoT-and-Mobile are comparing it to the libraries listed below
Sorting:
- Trojan Attack on Neural Network☆184Updated 3 years ago
- Code for ML Doctor☆91Updated 11 months ago
- ☆99Updated 4 years ago
- Knockoff Nets: Stealing Functionality of Black-Box Models☆100Updated 2 years ago
- ☆29Updated 2 years ago
- DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model☆216Updated 6 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆52Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 6 years ago
- This is a python script to generate nice bibtex file for latex.☆16Updated 5 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- A paper summary of Backdoor Attack against Neural Network☆13Updated 5 years ago
- privacy preserving deep learning☆15Updated 7 years ago
- ☆66Updated 5 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 3 years ago
- ☆146Updated 9 months ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆127Updated last year
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆30Updated 7 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆84Updated 2 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆122Updated 3 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 4 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 3 years ago
- ☆18Updated 3 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated last year
- ☆85Updated 4 years ago
- 对抗样本(Adversarial Examples)和投毒攻击(Poisoning Attacks)相关资料☆117Updated 6 years ago
- Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'☆53Updated 4 years ago
- Robustness benchmark for DNN models.☆67Updated 2 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆57Updated 8 months ago
- ☆66Updated 4 years ago