adversarial-robustness

There are 3 repositories under adversarial-robustness topic.

fra31 / auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
adversarial-attacks adversarial-defenses adversarial-robustness
Language:Python 611
RobustBench / robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
adversarial-machine-learning adversarial-robustness benchmark model-zoo
Language:Python 604
thu-ml / ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
adversarial-attacks adversarial-machine-learning adversarial-robustness benchmark-framework bim boundary deepfool distillation evolutionary fgsm hgd mi-fgsm mmlda nes pca spsa
Language:Python 458
alibaba / easyrobust
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
deep-learning image-classification imagenet adversarial-robustness robustness pretrained-models
Language:Jupyter Notebook 310
Verified-Intelligence / alpha-beta-CROWN
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
robustness robustness-verification neural-networks adversarial-examples adversarial-robustness neural-network-verification
Language:Python 206
square-attack
max-andr / square-attack
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
adversarial-attacks black-box-attacks zeroth-order-optimization random-search adversarial-robustness robustness
Language:Python 143
LayneH / self-adaptive-training
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
machine-learning computer-vision generalization overfitting label-noise adversarial-robustness
Language:Python 124
VITA-Group / Aug-NeRF
[CVPR 2022] "Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations" by Tianlong Chen*, Peihao Wang*, Zhiwen Fan, Zhangyang Wang
adversarial-robustness neural-radiance-fields neural-rendering
Language:Python 123
microsoft / denoised-smoothing
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
deep-learning machine-learning adversarial-defense adversarial-examples neural-networks computer-vision provable-defense adversarial-robustness image-classification aws-rekognition google-cloud-vision clarifai azure-computer-vision
Language:Jupyter Notebook 94
imrahulr / adversarial_robustness_pytorch
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
adversarial-training adversarial-robustness pytorch deep-learning
Language:Python 84
VITA-Group / Adv-SS-Pretraining
[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
adversarial-robustness self-supervised-learning pre-training ensemble-pretrain selfie rotation jigsaw
Language:Python 84
AI-secure / InfoBERT
[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
bert language-models adversarial-attacks adversarial-defense adversarial-robustness roberta information-theory
Language:Python 82
Haichao-Zhang / FeatureScatter
Feature Scattering Adversarial Training (NeurIPS19)
adversarial-machine-learning adversarial-robustness adversarial-training defense feature-scattering
Language:Python 71
zjysteven / DVERGE
Pytorch implementation of our NeurIPS'20 *Oral* paper "DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles".
adversarial-attack-and-defense adversarial-robustness diversifying-vulnerabilities ensembles pytorch
Language:Python 55
cemanil / LNets
Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
adversarial-robustness expressiveness gan-training groupsort lipschitz-functions maxmin robustness-experiments universal-approximation wasserstein-distance-estimation
Language:Python 52
VITA-Group / Alleviate-Robust-Overfitting
[ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang
adversarial-robustness overfitting smoothing generalization-ability
Language:Python 44
zbh2047 / L_inf-dist-net
[ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
l-inf-dist-net adversarial-robustness certified-defense-models
Language:Python 41
sayakpaul / par-cvpr-21
Contains notebooks for the PAR tutorial at CVPR 2021.
adversarial-attacks adversarial-machine-learning adversarial-training security deep-learning vision cvpr2021 adversarial-robustness tensorflow foolbox neural-structured-learning keras
Language:Jupyter Notebook 36
fra31 / fab-attack
Code for FAB-attack
adversarial-attacks adversarial-robustness
Language:Python 30
XinyiYS / Robust-and-Fair-Federated-Learning
Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning".
adversarial-robustness federated-learning collaborative-fairness
Language:Python 30
imrahulr / hat
Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
adversarial-training adversarial-robustness adversarial-machine-learning deep-neural-networks
Language:Python 28
VITA-Group / triple-wins
[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
adversarial-robustness adversarial-attacks triple-wins efficiency robustness efficient-inference
Language:Python 23
GATECH-EIC / Patch-Fool
[ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin
vision-transformer adversarial-robustness
Language:Python 22
zbh2047 / L_inf-dist-net-v2
[ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies
adversarial-robustness certified-robustness lipschitz-network certified-defense l-inf-dist-net
Language:Cuda 22
Harry24k / MAIR
PyTorch implementation of adversarial training and defenses [Fantastic Robustness Measures: The Secrets of Robust Generalization, NeurIPS 2023].
adversarial-attacks adversarial-defenses adversarial-robustness adversarial-training
Language:Python 21
cdluminate / robrank
Adversarial Attack and Defense in Deep Ranking, T-PAMI, 2024
ranking metric-learning adversarial-attacks deep-metric-learning dml adversarial-defense adversarial-machine-learning adversarial-robustness adversarial-training
Language:Python 20
zhichao-lu / robust-residual-network
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
adversarial-robustness residual-network
Language:Python 19
lafeat / lafeat
LAFEAT: Piercing Through Adversarial Defenses with Latent Features (CVPR 2021 Oral)
adversarial-attacks adversarial-robustness
Language:Python 17
jiequancui / DKL
Decoupled Kullback-Leibler Divergence Loss (DKL)
adversarial-robustness image-classification imagenet knowledge-distillation
Language:Python 16
reliable_gnn_via_robust_aggregation
sigeisler / reliable_gnn_via_robust_aggregation
This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020).
adversarial-robustness graph neural-networks
Language:Python 16
alexklwong / targeted-adversarial-perturbations-monocular-depth
PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)
adversarial-attacks adversarial-machine-learning adversarial-examples adversarial-perturbations targeted-adversarial-attacks computer-vision machine-learning adversarial-robustness pytorch neurips-2020 monocular-depth-estimation monocular-depth 3d-reconstruction 3d-vision neurips monocular-depth-predictions
Language:HTML 14
CN-TU / adversarial-recurrent-ids
Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intrusion Detection Systems. Also contains code for "SparseIDS: Learning Packet Sampling with Reinforcement Learning" (branch "rl").
adversarial-machine-learning adversarial-robustness explainability feature-importance feature-sensitivity rnn rnn-lstm
Language:TeX 14
fra31 / robust-finetuning
Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
adversarial-learning adversarial-robustness adversarial-training
Language:Python 14
GATECH-EIC / NeRFool
[ICML 2023] "NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations" by Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan (Celine) Lin
adversarial-robustness neural-radiance-fields
Language:Python 14
yangarbiter / interpretable-robust-trees
Connecting Interpretability and Robustness in Decision Trees through Separation
interpretable-machine-learning decision-trees adversarial-robustness boosting-by-majority interpretability robustness
Language:Jupyter Notebook 13
Jack-lx-jiang / MD_attacks
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)
adversarial-examples adversarial-attacks adversarial-robustness adversarial-machine-learning
Language:Python 11

adversarial-robustness

fra31 / auto-attack

RobustBench / robustbench

thu-ml / ares

alibaba / easyrobust

Verified-Intelligence / alpha-beta-CROWN

max-andr / square-attack

LayneH / self-adaptive-training

VITA-Group / Aug-NeRF

microsoft / denoised-smoothing

imrahulr / adversarial_robustness_pytorch

VITA-Group / Adv-SS-Pretraining

AI-secure / InfoBERT

Haichao-Zhang / FeatureScatter

zjysteven / DVERGE

cemanil / LNets

VITA-Group / Alleviate-Robust-Overfitting

zbh2047 / L_inf-dist-net

sayakpaul / par-cvpr-21

fra31 / fab-attack

XinyiYS / Robust-and-Fair-Federated-Learning

imrahulr / hat

VITA-Group / triple-wins

GATECH-EIC / Patch-Fool

zbh2047 / L_inf-dist-net-v2

Harry24k / MAIR

cdluminate / robrank

zhichao-lu / robust-residual-network

lafeat / lafeat

jiequancui / DKL

sigeisler / reliable_gnn_via_robust_aggregation

alexklwong / targeted-adversarial-perturbations-monocular-depth

CN-TU / adversarial-recurrent-ids

fra31 / robust-finetuning

GATECH-EIC / NeRFool

yangarbiter / interpretable-robust-trees

Jack-lx-jiang / MD_attacks