GitHub topics: adversarial-robustness
team-daniel/cedl
Our Conflict-aware Evidential Deep Learning (C-EDL) method enhances robustness to OOD and adversarial inputs by combining evidence from metamorphic transformations and reducing evidence when conflicts arise, signalling higher uncertainty.
Language: Python - Size: 567 KB - Last synced at: about 19 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0
fra31/auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Language: Python - Size: 39.7 MB - Last synced at: about 13 hours ago - Pushed at: about 1 year ago - Stars: 705 - Forks: 120
jiequancui/DKL
Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)
Language: Python - Size: 14.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 44 - Forks: 4
ky295/adv-steer
Adversarial Manipulation of CoT
Language: Jupyter Notebook - Size: 403 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 2 - Forks: 0
joseph-nagel/adversarial-ml
Adversarial attacks and defenses
Language: Jupyter Notebook - Size: 324 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0
Yarinyl/KDAT
official implementation for the AAAI-2025 paper KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models.
Language: Python - Size: 7.76 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
emaballarin/CARSO
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
Language: Python - Size: 152 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 1
Skyress1/ECG-FAT-Code
Code for our paper "Mitigating Adversarial Attacks on ECG Classification in Federated Learning via Adversarial Training", Artificial Intelligence Theory and Applications.
Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
alibaba/easyrobust
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
Language: Jupyter Notebook - Size: 19 MB - Last synced at: 29 days ago - Pushed at: 11 months ago - Stars: 332 - Forks: 38
adil-faiyaz98/neural-scope
A comprehensive tool for analyzing machine learning models with CI/CD integration. Features include pre-trained model support, security analysis, adversarial robustness, testing, model versioning and MLFlow integration
Language: Python - Size: 123 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
faidrapts/randomized-smoothing-adv-sr
Randomized smoothing as an adversarial defense for inverse problems, applied to super-resolution, and compared to adversarial training.
Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
thu-ml/ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Language: Python - Size: 378 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 505 - Forks: 86
Harry24k/MAIR
Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]
Language: Python - Size: 274 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 38 - Forks: 6
RobustBench/robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
Language: Python - Size: 5.92 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 702 - Forks: 98
IGITUGraz/OutputCodeMatching
Code for "Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching" [CVPR 2022]
Language: Python - Size: 47.9 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 1
zhyblue424/TGA-ZSR
(NeurIPS 2024)Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
Language: Python - Size: 3.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 10 - Forks: 0
ChoiDae1/robustify-T2I
[ECCV 2024 - Oral] Official PyTorch Implementation of "Adversarial Robustification via Text-to-Image Diffusion Models"
Language: Python - Size: 3.28 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 12 - Forks: 0
microsoft/denoised-smoothing
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
Language: Jupyter Notebook - Size: 21.6 MB - Last synced at: 2 days ago - Pushed at: about 4 years ago - Stars: 97 - Forks: 18
abhijay9/attacking_perceptual_similarity_metrics
[TMLR 2023] as a featured article (spotlight :star2: or top 0.01% of the accepted papers). In this study, we systematically examine the robustness of both traditional and learned perceptual similarity metrics to imperceptible adversarial perturbations.
Language: Python - Size: 1.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 6 - Forks: 2
suhyeok-jang/FT-CADIS
Code for the paper "Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness" (TMLR 2024)
Language: Python - Size: 189 KB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 10 - Forks: 0
VITA-Group/Adv-SS-Pretraining
[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Language: Python - Size: 974 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 85 - Forks: 13
cdluminate/robrank
Adversarial Attack and Defense in Deep Ranking, T-PAMI, 2024
Language: Python - Size: 435 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 2
IGITUGraz/SparseAdversarialTraining
Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]
Language: Python - Size: 37.1 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 1
fra31/robust-finetuning
Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
Language: Python - Size: 19.5 KB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 4
IGITUGraz/RobustSNNConversion
Code for "Adversarially Robust Spiking Neural Networks Through Conversion" [TMLR 2024]
Language: Python - Size: 29.3 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
Bai-YT/AdaptiveSmoothing
Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0
myuito3/AdvGrads
The all-in-one tool for comprehensive experimentation with adversarial attacks on image recognition.
Language: Python - Size: 148 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
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
Language: Python - Size: 646 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 46 - Forks: 5
Bai-YT/MixedNUTS
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
Language: Python - Size: 717 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0
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
Language: Python - Size: 205 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 124 - Forks: 8
LayneH/self-adaptive-training
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
Language: Python - Size: 91.8 KB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 127 - Forks: 23
mlosch/SAT
Official repository for the paper: "On Adversarial Training without Perturbing all Examples", Accepted at ICLR 2024
Language: Python - Size: 7.22 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
hylee817/datafreeshield
The official implementation of "DataFreeShield: Defending Adversarial Attacks without Training Data" accepted in ICML 2024.
Language: Python - Size: 1.53 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0
imrahulr/hat
Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
Language: Python - Size: 251 KB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 29 - Forks: 5
zjysteven/DVERGE
[NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Language: Python - Size: 24 MB - Last synced at: 8 days ago - Pushed at: over 3 years ago - Stars: 55 - Forks: 13
zhichao-lu/robust-residual-network
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
Language: Python - Size: 2.64 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 19 - Forks: 4
Haichao-Zhang/FeatureScatter
Feature Scattering Adversarial Training (NeurIPS19)
Language: Python - Size: 16.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 71 - Forks: 11
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".
Language: Python - Size: 32.2 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 31 - Forks: 11
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)
Language: Python - Size: 70.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 202 - Forks: 46
VITA-Group/triple-wins
[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
Language: Python - Size: 13.2 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 7
AI4LIFE-GROUP/average-case-robustness
Characterizing Data Point Vulnerability via Average-Case Robustness, UAI 2024
Language: Python - Size: 38.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
ti1uan/simplex-CROWN
Uses the simplex to propose a tighter boundary for the l1 perturbation of the convex activation function network, improving the effect of the CROWN algorithm.
Language: Python - Size: 3.1 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
VITA-Group/SparseADV_Homotopy
[ICML 2021 Long Talk] "Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm" by Mingkang Zhu, Tianlong Chen, Zhangyang Wang
Language: Python - Size: 604 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 3
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
Language: Python - Size: 2.51 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 1
VITA-Group/LTH-Pass
[TMLR] "Can You Win Everything with Lottery Ticket?" by Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang
Language: Python - Size: 8.54 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 2
sparshgup/Qu-TN
Enabling Adversarial Robustness in Variational Quantum Classifiers with Noisy Low-Rank Tensor Ring Approximation
Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
fanghenshaometeor/DIversity-via-Orthogonality
Code for the paper "Towards Robust Neural Networks via Orthogonal Diversity"
Language: Python - Size: 938 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
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
Language: Python - Size: 13.4 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 22 - Forks: 9
CN-TU/adversarial-recurrent-ids Fork of muxamilian/privacy-tuw
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").
Language: TeX - Size: 2.07 GB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 11
eth-sri/smoothing-ensembles
[ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers
Language: Python - Size: 26.4 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 1
max-andr/square-attack
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
Language: Python - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 128 - Forks: 24
Ehyaei/Causal-Fair-Metric-Learning
This project Implements the paper “Causally Robust Fair Metric Learning: Bridging Causality, Individual Fairness, and Adversarial Robustness” using the Python language.
Language: Python - Size: 3.08 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
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
Language: Python - Size: 72.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 81 - Forks: 6
cemanil/LNets
Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
Language: Python - Size: 72.3 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 50 - Forks: 20
samuel930930/Dual-Manifold-Adversarial-Training
[NeurIPS2020] The official repository of "Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks".
Language: Python - Size: 155 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 1
ginevracoal/adversarial_examples
Random Projections for improved Adversarial Robustness
Language: Jupyter Notebook - Size: 1.23 GB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0
yangarbiter/interpretable-robust-trees
Connecting Interpretability and Robustness in Decision Trees through Separation
Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 0
MKYucel/adversarial_robustness_zsl
[ECCV 2020 AROW Workshop] A Deep Dive into Adversarial Robustness in Zero-Shot Learning
Language: Python - Size: 7.52 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0
lafeat/lafeat
LAFEAT: Piercing Through Adversarial Defenses with Latent Features (CVPR 2021 Oral)
Language: Python - Size: 34.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 16 - Forks: 3
rrmhearts/adversarial-manipulated-geometry Fork of pankessel/explanations_can_be_manipulated
implementation for "Overcoming Adversarial Attacks for HITL Applications"
Language: Python - Size: 17.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
sigeisler/reliable_gnn_via_robust_aggregation
This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020).
Language: Python - Size: 309 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 3
zbh2047/L_inf-dist-net-v2
[ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies
Language: Cuda - Size: 298 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 16 - Forks: 3
zbh2047/L_inf-dist-net
[ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
Language: Python - Size: 56.6 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 37 - Forks: 6
alexklwong/targeted-adversarial-perturbations-monocular-depth
PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)
Language: HTML - Size: 29 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 3
VITA-Group/CIL-QUD
[TMLR 22] "Queried Unlabeled Data Improves and Robustifies Class- Incremental Learning" by Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Animi, Zhangyang Wang
Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0
zjysteven/PrivacyAttack_AT_FL
A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.
Language: Python - Size: 3.09 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 2
eth-sri/ACES
[SRML@ICLR 2022] Robust and Accurate -- Compositional Architectures for Randomized Smoothing
Language: Python - Size: 7.05 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
VITA-Group/Double-Win-LTH
[ICML 2022] "Data-Efficient Double-Win Lottery Tickets from Robust Pre-training" by Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang
Language: Python - Size: 308 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 0
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
Language: Python - Size: 54.7 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 66 - Forks: 8
yangarbiter/nearest-category-generalization
Nearest Category Generalization
Language: Jupyter Notebook - Size: 4.6 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
sayakpaul/par-cvpr-21 Fork of dipanjanS/adversarial-learning-robustness
Contains notebooks for the PAR tutorial at CVPR 2021.
Language: Jupyter Notebook - Size: 83.2 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 31 - Forks: 10
emaballarin/RADLER 📦
[Partial] RADLER: (adversarially) Robust Adversarial Distributional LEaRner
Language: Python - Size: 225 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
yining043/Byzantine-Federeated-RL Fork of flint-xf-fan/Byzantine-Federeated-RL
This repo implements our paper, "Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee", which has been accepted at NuerIPS 2021.
Language: Python - Size: 445 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
ALFA-group/CLAW-SAT Fork of OPTML-Group/CLAW-SAT
[SANER 2023] "CLAWSAT: Towards Both Robust and Accurate Code Models" by Jinghan Jia*, Shashank Srikant*, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
Size: 27.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
fra31/fab-attack
Code for FAB-attack
Language: Python - Size: 17.6 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 32 - Forks: 9
philippnormann/adversarial-recsys
đź“• Adversarial Attacks and Defenses for Image-Based Recommendation Systems using Deep Neural Networks.
Language: Jupyter Notebook - Size: 132 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 1
alextimans/robust-deepfake-detector Fork of municola/robust-deepfake-detector
'Robust Deepfake Detection' project for the Deep Learning course at ETH Zurich, 2021. Authors (alphabetic): David Kamm, Nicolas Muntwyler, Alexander Timans, Moritz Vandenhirtz.
Language: Jupyter Notebook - Size: 55 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
augustwester/augmenting-robustness
An extension of the PuVAE architecture for adversarial robustness
Language: Jupyter Notebook - Size: 3.82 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
Jack-lx-jiang/MD_attacks
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)
Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 0
