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RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
Created
2020-06-19
688 commits to master branch, last one 4 months ago
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Created
2020-02-17
176 commits to master branch, last one about a year ago
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Created
2020-03-19
190 commits to main branch, last one about a year ago
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
Created
2022-02-22
44 commits to main branch, last one 5 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
39 commits to main branch, last one 7 days ago
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
Created
2020-02-22
10 commits to master branch, last one 3 years ago
[CVPR 2022] "Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations" by Tianlong Chen*, Peihao Wang*, Zhiwen Fan, Zhangyang Wang
Created
2022-04-26
2 commits to main 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
Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness...
Created
2021-06-27
7 commits to main branch, last one 3 years ago
[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Created
2020-03-14
16 commits to master branch, last one 4 years ago
[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
Created
2021-01-13
14 commits to master branch, last one about a year ago
Feature Scattering Adversarial Training (NeurIPS19)
Created
2019-09-06
21 commits to master branch, last one 6 months ago
[NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Created
2020-10-10
27 commits to main branch, last one 2 years ago
[ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang
Created
2021-01-13
12 commits to main branch, last one 3 years ago
[ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
Created
2021-02-10
17 commits to main branch, last one 2 years ago
Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024
Created
2023-05-18
66 commits to main branch, last one about a month ago
[ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin
Created
2022-02-13
1 commits to main branch, last one 2 years ago
Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]
Created
2023-10-06
43 commits to main branch, last one about a month ago