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adversarial-attacks x

178 search results found

Zoo_attack_pytorch ⭐ 16

This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)

Ga Attack ⭐ 16

SaTML 2023, 1st place in CVPR’21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet.

Mesh Attack ⭐ 16

our code for paper '3D Adversarial Attacks Beyond Point Cloud '

Domain Shift Robustness ⭐ 16

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

Official implementation of CVPR2020 Paper "Cooling-Shrinking Attack"

Composite Adv ⭐ 15

[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.

Vllm Safety Benchmark ⭐ 15

Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"

[NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback

Attack Imagenet ⭐ 15

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

Segmentandcomplete ⭐ 14

Official implementation of Segmentation and Complete (SAC) defense.

Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023]

Augmented_lagrangian_adversarial_attacks ⭐ 14

Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"

Transfer_attack_rap ⭐ 14

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)

Chainer Adversarial Examples ⭐ 14

Adversarial attack methods, FGSM and TGSM, implemented in Chainer

Contranet ⭐ 14

This is the official implementation of ContraNet (NDSS2022).

[ECCV 2022 Oral] Source code for "A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow"

Mdattack ⭐ 13

Official Source Code of the paper "Exploring Effective Data for Surrogate Training Towards Black-box Attack", which is accepted by CVPR 2022

Codebase for the ACL 2023 paper: White-Box Multi-Objective Adversarial Attack on Dialogue Generation.

Robustbnns ⭐ 12

Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"

Adverserial_attack ⭐ 12

Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset

Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples

Robust Principles ⭐ 12

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

Contrastive Poisoning ⭐ 12

[ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning

Adv Reid ⭐ 12

Metric Adversarial Attacks and Defense

Bert Adv Embed ⭐ 12

Adversarial perturbations on word embeddings of BERT

Fooling_network_interpretation ⭐ 12

Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification

Sparse Imperceivable Attacks ⭐ 12

Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).

Face Adversarial Attack ⭐ 12

An easy approach for the competition "Facial Adversary Examples" in TIANCHI

Simp Gcn ⭐ 12

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

3d Neural Network Adversarial Attacks ⭐ 11

Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.

Leveraging Adversarial Examples To Quantify Membership Information Leakage ⭐ 11

Bev Attack ⭐ 10

[TMLR'24] On the Adversarial Robustness of Camera-based 3D Object Detection

Smoothfool ⭐ 10

SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations

Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark

Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (ICCV 2021; Oral)

Nips 2018 Adversarial Vision Challenge ⭐ 10

Code, documents, and deployment configuration files, related to our participation in the 2018 NIPS Adversarial Vision Challenge "Robust Model Track"

[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning

Decepticonlp ⭐ 10

Python Library for Robustness Monitoring and Adversarial Debugging of NLP models

The VeriNet toolkit for verification of neural networks

SAGA: Spectral Adversarial Geometric Attack on 3D Meshes (ICCV 2023)

Stereoscopic Universal Perturbations ⭐ 9

PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)

Reap Benchmark ⭐ 9

REAP: A Large-Scale Realistic Adversarial Patch Benchmark

Repository of the TSFool method proposed in paper "TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack".

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications (AAAI 2020)

White 2 Black ⭐ 9

The official code to reproduce results from the NACCL2019 paper: White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks

From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks

Vanilla Adversarial Training ⭐ 8

vanilla training and adversarial training in PyTorch

Meta Adversarial Training ⭐ 8

Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.

PyTorch implementation of adversarial defenses [Fantastic Robustness Measures: The Secrets of Robust Generalization, NeurIPS 2023].

Eegadversary ⭐ 8

This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.

Featurespaceattack ⭐ 8

Code for AAAI 2021 "Towards Feature Space Adversarial Attack".

Pytorch Gnn Meta Attack ⭐ 8

Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.

Linear Region Attack ⭐ 8

A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent

It Defense ⭐ 8

Our code for paper 'The art of defense: letting networks fool the attacker', IEEE Transactions on Information Forensics and Security, 2023

[CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method

Metaadvdet ⭐ 8

The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"

Foolyourvllms ⭐ 8

Code for paper: Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations

Attack_vae ⭐ 7

Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks

Source code of our ICASSP2023 paper: Towards Making a Trojan-horse Attack on Text-to-Image Retrieval.

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

Transferattacksurrogates ⭐ 7

The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.

Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq

Defending Against Backdoors With Robust Learning Rate ⭐ 7

The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".

Adversarial_attack_on_rnn ⭐ 7

Performing C&W attack on Recurrent Neural Network

Stereopagnosia ⭐ 7

PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)

Robustadversarialnetwork ⭐ 7

A pytorch re-implementation for paper "Towards Deep Learning Models Resistant to Adversarial Attacks"

[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning

Semanticshield ⭐ 6

The Security Toolkit for managing Generative AI(especially LLMs) and Supervised Learning processes(Learning and Inference).

Code base for the EMNLP 2021 paper, "Multi-granularity Textual Adversarial Attack with Behavior Cloning".

Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty

Adversarialconvex ⭐ 6

Tensorflow implementation for generating adversarial examples using convex programming

Non Adversarial_backdoor ⭐ 6

Implementation of "Beating Backdoor Attack at Its Own Game" (ICCV-23).

Learning To Break Deep Perceptual Hashing ⭐ 6

Source code for our ACM FAccT 2022 paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash"

Code for the ICLR 2022 paper "Attacking deep networks with surrogate-based adversarial black-box methods is easy"

Morphence ⭐ 6

Morphence: An implementation of a moving target defense against adversarial example attacks demonstrated for image classification models trained on MNIST and CIFAR10.

Capsule_network_tensorflow ⭐ 6

Capsule Network implementation in Tensorflow

Deep Neural Network Falsification

Adversarial Machine Learning ⭐ 6

Hands-on tutorial on adversarial examples 😈. With Streamlit app ❤️.

Keras_adversarial_attack ⭐ 5

Implementation of (2014) Explaining and Harnessing Adversarial Examples.

Transferable_perturbations ⭐ 5

[NeurIPS2021] Code Release of Learning Transferable Perturbations

Adversarial_robustness_zsl ⭐ 5

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

Linkteller ⭐ 5

LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis

Solution For Aisafety Cvpr2022 ⭐ 5

A Simple and Effective Solution For AISafety CVPR2022, ranked 5th

Composite Adv ⭐ 5

[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.

Black-box Adversarial Attacks on Video Recognition Models. (VBAD)

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