Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Graph Adversarial Learning Literature | 772 | 4 months ago | ||||||||
A curated list of adversarial attacks and defenses papers on graph-structured data. | ||||||||||
Textfooler | 376 | 2 years ago | 19 | mit | Python | |||||
A Model for Natural Language Attack on Text Classification and Inference | ||||||||||
Artificial Adversary | 317 | 1 | 6 years ago | 3 | August 29, 2018 | 7 | mit | Python | ||
🗣️ Tool to generate adversarial text examples and test machine learning models against them | ||||||||||
Trojanzoo | 260 | 3 months ago | 18 | November 10, 2023 | 14 | gpl-3.0 | Python | |||
TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning. | ||||||||||
Graph_adversarial_attack | 110 | 2 years ago | 7 | mit | Python | |||||
Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371) | ||||||||||
Free_adv_train | 95 | 5 years ago | 3 | Python | ||||||
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training. | ||||||||||
Privpkt | 81 | a year ago | 26 | mit | Python | |||||
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification) | ||||||||||
Robust_physical_perturbations | 35 | 4 years ago | 2 | mit | Python | |||||
Public release of code for Robust Physical-World Attacks on Deep Learning Visual Classification (Eykholt et al., CVPR 2018) | ||||||||||
Decision Boundaries | 17 | 6 years ago | 1 | other | Python | |||||
code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA- | ||||||||||
Metric_learning_adversarial_robustness | 17 | 4 years ago | Python | |||||||
Code for NeurIPS 2019 Paper |