ryderling / DEEPSECLinks
DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
☆222Updated 6 years ago
Alternatives and similar repositories for DEEPSEC
Users that are interested in DEEPSEC are comparing it to the libraries listed below
Sorting:
- Trojan Attack on Neural Network☆188Updated 3 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆187Updated 2 years ago
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆301Updated 5 years ago
- ☆148Updated 11 months ago
- ☆99Updated 4 years ago
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆301Updated last month
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 3 years ago
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆82Updated 2 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆60Updated 10 months ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆71Updated 7 years ago
- 对抗样本(Adversarial Examples)和投毒攻击(Poisoning Attacks)相关资料☆116Updated 6 years ago
- 对抗样本☆272Updated 2 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- ☆86Updated 4 years ago
- ☆79Updated 5 years ago
- 机器学习安全相关论文、代码☆42Updated 6 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆48Updated 6 years ago
- ☆18Updated 3 years ago
- ☆27Updated 5 years ago
- ☆66Updated 5 years ago
- MagNet: a Two-Pronged Defense against Adversarial Examples☆101Updated 6 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 4 years ago
- Simple PyTorch implementations of Badnets on MNIST and CIFAR10.☆185Updated 3 years ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- ☆66Updated 6 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆84Updated 3 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆99Updated 4 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆67Updated 7 years ago
- ☆52Updated 3 years ago
- Knockoff Nets: Stealing Functionality of Black-Box Models☆108Updated 2 years ago