RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
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Dec 20, 2024 - Python
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adversarial-robustness
Here are 75 public repositories matching this topic...
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
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May 16, 2024 - Python
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
nes pca bim benchmark-framework evolutionary spsa boundary adversarial-machine-learning distillation fgsm adversarial-attacks deepfool adversarial-robustness mi-fgsm mmlda hgd
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Oct 15, 2023 - Python
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
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Jun 30, 2024 - Jupyter Notebook
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)
neural-networks formal-verification robustness adversarial-examples adversarial-robustness robustness-verification neural-network-verification
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Nov 25, 2024 - Python
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
random-search robustness adversarial-attacks black-box-attacks zeroth-order-optimization adversarial-robustness
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Jul 2, 2020 - Python
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
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Oct 17, 2021 - Python
[CVPR 2022] "Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations" by Tianlong Chen*, Peihao Wang*, Zhiwen Fan, Zhangyang Wang
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Jun 13, 2022 - Python
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
machine-learning computer-vision deep-learning aws-rekognition neural-networks image-classification clarifai google-cloud-vision adversarial-examples azure-computer-vision adversarial-defense adversarial-robustness provable-defense
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Apr 2, 2021 - Jupyter Notebook
Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch
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Mar 4, 2022 - Python
[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
rotation selfie jigsaw self-supervised-learning pre-training adversarial-robustness ensemble-pretrain
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Dec 30, 2021 - Python
[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
information-theory language-models bert adversarial-attacks roberta adversarial-defense adversarial-robustness
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Oct 25, 2023 - Python
Feature Scattering Adversarial Training (NeurIPS19)
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Jun 1, 2024 - Python
[NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
pytorch ensembles adversarial-robustness adversarial-attack-and-defense diversifying-vulnerabilities
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Feb 25, 2022 - Python
Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
expressiveness lipschitz-functions gan-training maxmin adversarial-robustness robustness-experiments universal-approximation wasserstein-distance-estimation groupsort
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Jun 1, 2020 - Python
[ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang
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Dec 30, 2021 - Python
[ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
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Mar 16, 2022 - Python
Contains notebooks for the PAR tutorial at CVPR 2021.
security deep-learning tensorflow keras vision adversarial-machine-learning adversarial-attacks foolbox adversarial-training adversarial-robustness neural-structured-learning cvpr2021
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Jun 29, 2021 - Jupyter Notebook
Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024
semi-supervised-learning kullback-leibler-divergence imagenet image-classification knowledge-distillation adversarial-robustness long-tailed-learning neurips2024
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Oct 27, 2024 - Python
Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning".
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May 28, 2024 - Python
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