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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Created 2018-03-15
12,226 commits to main branch, last one 25 days ago
374
2.8k
mit
38
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Created 2019-10-15
2,705 commits to master branch, last one 2 months ago
422
2.7k
mit
45
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Created 2017-06-14
1,711 commits to master branch, last one 2 months ago
261
1.4k
apache-2.0
56
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models....
Created 2018-08-08
378 commits to master branch, last one about a year ago
192
1.3k
lgpl-3.0
27
A Toolbox for Adversarial Robustness Research
Created 2018-11-29
309 commits to master branch, last one 2 years ago
190
952
mit
16
A pytorch adversarial library for attack and defense methods on images and graphs
Created 2019-09-21
854 commits to master branch, last one about a month ago
Raising the Cost of Malicious AI-Powered Image Editing
Created 2022-11-03
13 commits to main branch, last one about a year ago
🗣️ Tool to generate adversarial text examples and test machine learning models against them
Created 2018-08-08
15 commits to master branch, last one 5 years ago
Adversarial attacks and defenses on Graph Neural Networks.
Created 2019-08-12
47 commits to master branch, last one 11 months ago
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
Created 2020-03-02
24 commits to master branch, last one about a month ago
A curated list of awesome resources for adversarial examples in deep learning
Created 2017-11-27
9 commits to master branch, last one 4 years ago
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
Created 2021-06-29
34 commits to main branch, last one 9 days ago
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
Created 2019-05-28
403 commits to master branch, last one 2 years ago
21
179
unknown
9
PhD/MSc course on Machine Learning Security (Univ. Cagliari)
Created 2021-09-06
79 commits to main branch, last one 5 months ago
Library containing PyTorch implementations of various adversarial attacks and resources
Created 2020-11-24
146 commits to main branch, last one 22 days ago
A curated list of academic events on AI Security & Privacy
Created 2021-10-04
69 commits to main branch, last one 23 days ago
Revisiting Transferable Adversarial Image Examples (arXiv 2023)
Created 2022-10-23
114 commits to main branch, last one a day ago
17
98
apache-2.0
7
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Created 2019-01-28
10 commits to master branch, last one 2 years ago
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
Created 2020-03-01
10 commits to master branch, last one 3 years ago
12
93
bsd-2-clause
10
Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).
Created 2019-06-05
12 commits to master branch, last one 2 years ago
Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Created 2020-07-06
20 commits to master branch, last one 2 years ago
Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
Created 2020-02-25
87 commits to master branch, last one 2 years ago
A Closer Look at Accuracy vs. Robustness
Created 2020-02-08
7 commits to master branch, last one 3 years ago
Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"
Created 2020-04-28
26 commits to master branch, last one 3 years ago
Code for "Adversarial attack by dropping information." (ICCV 2021)
Created 2021-04-12
29 commits to main branch, last one 2 years ago
The implementation of our ICCV 2023 paper "Downstream-agnostic Adversarial Examples"
Created 2023-07-20
9 commits to master branch, last one 9 months ago
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
Created 2019-05-11
11 commits to master branch, last one 3 years ago