Adversarial Robustness ToolboxAdversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Stars: ✭ 2,638 (+6034.88%)
Mutual labels: adversarial-examples
FoolboxA Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Stars: ✭ 2,108 (+4802.33%)
Mutual labels: adversarial-examples
adaptive-segmentation-mask-attackPre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).
Stars: ✭ 50 (+16.28%)
Mutual labels: adversarial-examples
tulipScaleable input gradient regularization
Stars: ✭ 19 (-55.81%)
Mutual labels: adversarial-examples
GROOT[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html
Stars: ✭ 15 (-65.12%)
Mutual labels: adversarial-examples
ijcnn19attacksAdversarial Attacks on Deep Neural Networks for Time Series Classification
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Mutual labels: adversarial-examples
robust-local-lipschitzA Closer Look at Accuracy vs. Robustness
Stars: ✭ 75 (+74.42%)
Mutual labels: adversarial-examples
adversarial-attacksCode for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Stars: ✭ 90 (+109.3%)
Mutual labels: adversarial-examples
avc nips 2018Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge
Stars: ✭ 18 (-58.14%)
Mutual labels: adversarial-examples
adv-dnn-ens-malwareadversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
Stars: ✭ 33 (-23.26%)
Mutual labels: adversarial-examples
procedural-advmlTask-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
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Mutual labels: adversarial-examples
RobustTrees[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
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Mutual labels: adversarial-examples
denoised-smoothingProvably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
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Mutual labels: adversarial-examples
rs4aRandomized Smoothing of All Shapes and Sizes (ICML 2020).
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Mutual labels: adversarial-examples
generative adversaryCode for the unrestricted adversarial examples paper (NeurIPS 2018)
Stars: ✭ 58 (+34.88%)
Mutual labels: adversarial-examples
pre-trainingPre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Stars: ✭ 90 (+109.3%)
Mutual labels: adversarial-examples
