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34 search results found

Taadpapers ⭐ 1,413

Must-read Papers on Textual Adversarial Attack and Defense

Auto_lirpa ⭐ 265

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

Attack And Defense Methods ⭐ 152

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

Smoothing Adversarial ⭐ 148

Code for our NeurIPS 2019 spotlight "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Robust Classification ⭐ 94

CVPR 2022 Workshop Robust Classification

Infobert ⭐ 81

[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

Denoised Smoothing ⭐ 69

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Awesome Adversarial Deep Learning ⭐ 68

A list of awesome resources for adversarial attack and defense method in deep learning

Crown Ibp ⭐ 64

Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

Mlattacks ⭐ 38

Machine Learning Attack Series

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks

Adversarial Distributional Training ⭐ 31

Adversarial Distributional Training (NeurIPS 2020)

Learnable Boundary Guided Adversarial Training (ICCV2021)

Rl Policies Attacks Defenses ⭐ 26

Adversarial attacks on Deep Reinforcement Learning (RL)

Source Code for 'SECurity evaluation platform FOR Speaker Recognition' released in 'Defending against Audio Adversarial Examples on Speaker Recognition Systems'

Catastrophic Overfitting ⭐ 20

Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]

Smoothing Consistency ⭐ 19

Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)

Cvpr_2019_pni ⭐ 18

pytorch implementation of Parametric Noise Injection for adversarial defense

Feature Separation and Recalibration (CVPR 2023 Highlights)

Adversarial Attack and Defense in Deep Ranking, arXiv:2106.03614

Adversarial Patch Training ⭐ 18

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Denoised Smoothing Tf ⭐ 17

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

Enhancing Adversarial Robustness for Deep Metric Learning, CVPR, 2022

Adversarial Ranking Attack and Defense, ECCV, 2020.

Smoothmix ⭐ 13

Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

[ECCV 2020] Pytorch codes for Open-set Adversarial Defense

Adv Reid ⭐ 12

Metric Adversarial Attacks and Defense

Project Athena ⭐ 10

This is the course project for CSCE585: ML Systems. Students will build their machine learning systems based on the provided infrastructure --- Athena.

Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".

Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification

Spectraldef_framework ⭐ 6

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

Awesome Real World Adversarial Examples ⭐ 6

😎 A curated list of awesome real-world adversarial examples resources

Adversarial_robustness_zsl ⭐ 5

[ECCV 2020 AROW Workshop] A Deep Dive into Adversarial Robustness in Zero-Shot Learning

official Pytorch implementation of paper 'Adversarial samples for deep monocular 6D object pose estimation'

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