ryderling / DEEPSECLinks
DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
☆216Updated 6 years ago
Alternatives and similar repositories for DEEPSEC
Users that are interested in DEEPSEC are comparing it to the libraries listed below
Sorting:
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆187Updated 2 years ago
- Trojan Attack on Neural Network☆184Updated 3 years ago
- 机器学习安全相关论文、代码☆41Updated 5 years ago
- 对抗样本(Adversarial Examples)和投毒攻击(Poisoning Attacks)相关资料☆116Updated 6 years ago
- MagNet: a Two-Pronged Defense against Adversarial Examples☆99Updated 6 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- ☆99Updated 4 years ago
- ☆79Updated 5 years ago
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆292Updated 5 years ago
- ☆85Updated 4 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 7 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆57Updated 7 months ago
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆289Updated 10 months ago
- Code for attacking state-of-the-art face-recognition system from our paper: M. Sharif, S. Bhagavatula, L. Bauer, M. Reiter. "Accessorize …☆62Updated 6 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Updated 3 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
- ☆145Updated 8 months ago
- Simple PyTorch implementations of Badnets on MNIST and CIFAR10.☆175Updated 2 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆96Updated 4 years ago
- Knockoff Nets: Stealing Functionality of Black-Box Models☆99Updated 2 years ago
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆77Updated 2 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆52Updated 3 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆67Updated 7 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆179Updated 3 years ago
- ☆66Updated 5 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
- ☆49Updated 4 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 3 years ago
- Code for ML Doctor☆91Updated 10 months ago