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adversarial-machine-learning x

95 search results found

Fawkes ⭐ 4,966

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Adversarial Robustness Toolbox ⭐ 4,420

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Textattack ⭐ 2,597

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Llm Guard ⭐ 567

The Security Toolkit for LLM Interactions

Robustbench ⭐ 566

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

T2F: text to face generation using Deep Learning

Pro_gan_pytorch ⭐ 504

Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"

Graphgallery ⭐ 440

GraphGallery is a gallery for benchmarking Graph Neural Networks.

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Auto_lirpa ⭐ 239

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

Backdoors101 ⭐ 231

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Secml_malware ⭐ 168

Create adversarial attacks against machine learning Windows malware detectors

Smoothing Adversarial ⭐ 148

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

Smoothing ⭐ 137

Provable adversarial robustness at ImageNet scale

Vigil Llm ⭐ 132

⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs

Adversarial Training for Neural Relation Extraction

A Python library for Secure and Explainable Machine Learning

Free_adv_train ⭐ 95

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Papers and resources related to the security and privacy of LLMs 🤖

Scratchai ⭐ 81

scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.

A library for running membership inference attacks against ML models

Plexiglass ⭐ 79

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

Textfool ⭐ 79

Plausible looking adversarial examples for text classification

Torchadver ⭐ 78

A PyTorch Toolbox for creating adversarial examples that fool neural networks.

Transferattack ⭐ 76

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

Steps towards physical adversarial attacks on facial recognition

Patch Wise Iterative Attack ⭐ 71

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

Jpeg Defense ⭐ 65

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Crown Ibp ⭐ 64

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

Strike With A Pose ⭐ 63

A simple GUI tool for generating adversarial poses of objects.

Narcissus ⭐ 61

The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.

Perceptron Benchmark ⭐ 60

Robustness benchmark for DNN models.

Robust Local Lipschitz ⭐ 50

A Closer Look at Accuracy vs. Robustness

Robust Adv Malware Detection ⭐ 49

Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"

A repository to quickly generate synthetic data and associated trojaned deep learning models

Proof Pudding ⭐ 40

Copy cat model for Proofpoint

Featurescatter ⭐ 39

Feature Scattering Adversarial Training

Pro_gan_pytorch Examples ⭐ 38

Examples trained using the python pytorch package pro-gan-pth

[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".

Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks

Adversarial Distributional Training ⭐ 31

Adversarial Distributional Training (NeurIPS 2020)

[CoRL'23] Adversarial Training for Safe End-to-End Driving

Generalized Data-free Universal Adversarial Perturbations

Ead_attack ⭐ 30

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

If Defense ⭐ 28

This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

Fast Certified Robust Training ⭐ 22

[NeurIPS 2021] Fast Certified Robust Training with Short Warmup

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

Human Extractor ⭐ 20

👤 Cutting people out automatically using Image translation's architecture Pix2Pix

Smoothing Consistency ⭐ 19

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

Adversarial Patch Training ⭐ 18

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

Robustarchitecturesearch ⭐ 18

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

Adversarial Attack and Defense in Deep Ranking, arXiv:2106.03614

Adv Part Model ⭐ 18

Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)

Adversarial Ranking Attack and Defense, ECCV, 2020.

Adversarial Nonparametrics ⭐ 17

Robustness for Non-Parametric Classification: A Generic Attack and Defense

Mockingbird ⭐ 16

Keras with Tensorflow implementation of our paper "Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces" which is published in IEEE Transactions on Information Forensics and Security (TIFS).

Adversarial Code Generation ⭐ 14

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

Scaleable input gradient regularization

Transfer_attack_rap ⭐ 14

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

Honest But Curious Nets ⭐ 14

Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)

Translearn ⭐ 14

Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018

Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

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

Thermometerencoding ⭐ 13

reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch

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

Generative adversarial network for normalizing and predicting time-dependent graphs with respect to a fixed template.

Tf2 Keras Gan Notebooks ⭐ 11

Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)

Dynamic_adv_training ⭐ 11

Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"

Adversarial Divergence Reduction ⭐ 11

Tensorflow implementation for the ECCV20 paper "Improving Adversarial Robustness by Enforcing Local and Global Compactness"

[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

Watermark Vaccine ⭐ 10

The code for ECCV2022 (Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal)

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

Nips17_adv_attack ⭐ 10

Tensorflow Implementation of adversarial learning based adversarial example generator

Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"

Reap Benchmark ⭐ 9

REAP: A Large-Scale Realistic Adversarial Patch Benchmark

Lgv Geometric Transferability ⭐ 9

Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"

Deid Training Data ⭐ 8

Privacy-preserving representations of training data for de-identification

Featurespaceattack ⭐ 8

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

It Defense ⭐ 8

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

Privacyattack_at_fl ⭐ 7

A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.

Hybrid_augment ⭐ 7

[ICCV 2023] HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness

Gym Battleship ⭐ 7

Battleship environment for reinforcement learning tasks

Stereopagnosia ⭐ 7

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

Code for 'One Neuron to Fool Them All'

Hardening Deep Neural Networks Via Adversarial Model Cascades ⭐ 6

Official code repository for our publication 'Hardening Deep Neural Networks via Adversarial Model Cascades'

Adversarial Machine Learning ⭐ 6

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

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

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

Defensivefsl ⭐ 5

The Pytorch code of "Defensive Few-Shot Learning", TPAMI 2022.

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

Global-Local Regularization Via Distributional Robustness (AISTATS 2023)

Robust Representation Matching ⭐ 5

Code for our USENIX Security '22 paper: Transferring Adversarial Robustness Through Robust Representation Matching.

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