adversarial-machine-learning topic

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

akanimax

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

Hadisalman

T2F: text to face generation using Deep Learning

akanimax

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

RobustBench

Provable adversarial robustness at ImageNet scale

locuslab

Create adversarial attacks against machine learning Windows malware detectors

pralab

Adversarial Training for Neural Relation Extraction

jxwuyi

A library for running membership inference attacks against ML models

spring-epfl

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

Koukyosyumei

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.

iArunava