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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
12,558 commits to main branch, last one about a month ago
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
2,707 commits to master branch, last one 8 months ago
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 about a year ago
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 2 years ago
A Toolbox for Adversarial Robustness Research
Created
2018-11-29
309 commits to master branch, last one 2 years ago
A pytorch adversarial library for attack and defense methods on images and graphs
Created
2019-09-21
856 commits to master branch, last one 8 months ago
Raising the Cost of Malicious AI-Powered Image Editing
Created
2022-11-03
13 commits to main branch, last one 2 years 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 6 years ago
Implementation of Papers on Adversarial Examples
Created
2018-01-27
24 commits to master branch, last one about a year ago
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
dbms
privacy
paillier
security
k-anonymity
deep-learning
evasion-attack
machine-learning
poisoning-attacks
federated-learning
adversarial-attacks
adversarial-examples
differential-privacy
membership-inference
paillier-cryptosystem
homomorphic-encryption
model-inversion-attacks
adversarial-machine-learning
Created
2021-01-16
940 commits to main branch, last one 2 months ago
Adversarial attacks and defenses on Graph Neural Networks.
Created
2019-08-12
47 commits to master branch, last one about a year ago
💡 Adversarial attacks on explanations and how to defend them
Created
2020-07-30
124 commits to master branch, last one 4 months ago
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
Created
2020-03-02
26 commits to master branch, last one 2 months ago
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)
Created
2021-06-29
41 commits to main branch, last one 2 months ago
A curated list of awesome resources for adversarial examples in deep learning
Created
2017-11-27
9 commits to master branch, last one 5 years 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
PhD/MSc course on Machine Learning Security (Univ. Cagliari)
Created
2021-09-06
91 commits to main branch, last one 3 months ago
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
Created
2019-04-17
38 commits to master branch, last one 5 years ago
Library containing PyTorch implementations of various adversarial attacks and resources
Created
2020-11-24
156 commits to main branch, last one 29 days ago
A curated list of academic events on AI Security & Privacy
Created
2021-10-04
70 commits to main branch, last one 7 months ago
A list of recent papers about adversarial learning
Created
2023-09-15
381 commits to main branch, last one a day ago
Revisiting Transferable Adversarial Images (arXiv)
Created
2022-10-23
143 commits to main branch, last one 23 days ago
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Created
2019-01-28
10 commits to master branch, last one 3 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 4 years ago
Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Created
2020-07-06
20 commits to master branch, last one 3 years ago
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 3 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 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
A Closer Look at Accuracy vs. Robustness
Created
2020-02-08
7 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 3 years ago