jiang4355

XUAN

SurFree

SurFree: a fast surrogate-free black-box attack

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

HSJA

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

blackbox-attack

Blackbox attacks for deep neural network models

deep-learning-models

Keras code and weights files for popular deep learning models.

awesome-jupyterlab-extension

😎 A curated list of awesome Jupyterlab extension projects. 🌠 Detailed introduction with images.

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

python-machine-learning

吴恩达（Andrew Ng）在coursera的机器学习课程习题的python实现

boundary-attack

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

ZOO-Attack

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks

advance-bayesian-modelling-with-PyMC3

cross-lipschitz

Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]

CLEVER

CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks

CLEVER-Robustness-Score

Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018 ​​​​​​​

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

statistical-robustness

Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"