Simple code related to adversarial examples, attacks, and defenses.
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Updated
Mar 28, 2024 - Jupyter Notebook
Simple code related to adversarial examples, attacks, and defenses.
adversarial attack and defense tests
A collection of adversarial attacks on various models built using Deep Learning and Deep Metric Learning techniques. Standard datasets are used.
Jeu de la bataille navale en Python avec simulation d'un joueur adverse
An adversarial image generator
This github repository contains the official code for the papers, "Robustness Assessment for Adversarial Machine Learning: Problems, Solutions and a Survey of Current Neural Networks and Defenses" and "One Pixel Attack for Fooling Deep Neural Networks"
[SIGIR 2021] Official repository for "Targeted Attack and Defense for Deep Hashing"
[TMM 2022] Official repository for "Targeted Attack of Deep Hashing via Prototype-supervised Adversarial Networks"
Code to generate and extend the TCAB dataset.
Gaussian process regression-based adversarial image detection
Neural Network Adversarial Attack Method Based on Improved Genetic Algorithm
Compose desired image with data such that will cause pretrained models misbehave.
GraphReach : Position-Aware Graph Neural Network using Reachability Estimations, IJCAI'21
vanilla training and adversarial training in PyTorch
Repository of paper "TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack" (ECAI'24)
From Gradient Leakage to Adversarial Attacks in Federated Learning
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes (ICCV 2023)
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
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