adversarial

data-driven-adversarial-amc

packer-masking-tool

Attack tool for altering packed samples so that they evade static packing detection

DRSM

DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)

cospgd

The official repository for CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.

Gionnino9000

La nostra soluzione per la Tablut Challenge 2022 ♟️ (Fondamenti di Intelligenza Artificiale M)

Activation-Attack-Pytorch

CVPR 2019 Paper——Feature Space Perturbations Yield More Transferable Adversarial Examples re-implementation.

Frank-Wolfe-AdvML

A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)

Adversarial-Magnification-to-Deceive-Deepfake-Detection-through-Super-Resolution

Official code for the paper "Adversarial Magnification to Deceive Deepfake Detection through Super Resolution"

DeepManeuver

Tool, paper, and study data for DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles.

BadGlobalMinima

Bad Global Minima Exist and SGD Can Reach Them, NeurIPS'20 (https://arxiv.org/abs/1906.02613)

GAN_School

GAN School at Elo7

adversarialconvex

Tensorflow implementation for generating adversarial examples using convex programming

REGroup

Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022

AAI

Code for Adversarial Approximate Inference for Speech to Laryngograph Conversion

adversarial_BFGS_TensorFlow

Adversarial example creation based on BFGS algorithm implemented under TensorFlow

Evaluating-Membership-Inference-Through-Adversarial-Robustness

This repository is the official implementation of [Evaluating Membership Inference Through Adversarial Robustness]

ProvoGAN

Official Implementation of Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery

Adversarial_SocialBots_WWW22

Source code for the paper "Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning." (Web Conference 2022)

adversarial_ml_ctf

This repository is a CTF challenge, showing a security flaw in most (all?) common artificial neural networks. They are vulnerable for adversarial images.

TTAttack

[ECCVW 2022] Universal, Transferable Adversarial Perturbations for Visual Object Trackers

MPCC

MPCC: Matching Priors and Conditional for Clustering. Official implementation

McCaD

[WACV2025, Early Accepted] McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis

Adversarial-Attack-ESC-Datasets-Adv-ESC-

Adversarial Attack Datasets for Environmental Sound Classification

Generative-Adversarial-Network-for-Atari-Breakout

Generating Atari Images with GANs in PyTorch

fudan_mtl_reviews

TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`

targeted_adversarial_training

Tensorflow code to perform targeted advesarial attacks on inception v3.

MachineLearning

Adversarial training for CNN using MNIST

CLIP-generative-adversarial

Projected Gradient Descent (PGD), inverted and amplified -> prompt & generate images with CLIP

dat

Combination of Distributed Adversarial Training and JointSpar-Lars to experiment the effects of sparsifying gradients and their computation on Distributed Adversarial Training.

Pacman-AI

AI project designed by UC Berkeley. Designed reflex and minimax agents for the game Pacman.

VAA

Source code for COLING 2020 paper "Enhancing Neural Models with Asymmetrical Vulnerability via Adversarial Attack"

adversnoise

PyTorch implementation of projected gradient descent (PGD) adversarial noise attack

Smart-Connect4

Intelligent Agent to play Connect-4 with a modifiable depth aided with a decision tree visualizer to trace the agent's decision making process

pytorch-semiadv

Pytorch Implementation of SemiAdv.

DBA

Source code for ESORICS 2020 paper "Detection by attack: Detecting adversarial samples by undercover attack"