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adversarial-examples-in-deep-learning

Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).

adversarial-training-pytorch

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

advertorch

A Toolbox for Adversarial Robustness Research

ares

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

audio_adversarial_examples

Targeted Adversarial Examples on Speech-to-Text systems

awesome-differential-privacy

list of differential-privacy related repositories

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

codebert

CodeBERT

codeql

CodeQL zero to hero blog post series challenges

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

counterfit

a CLI that provides a generic automation layer for assessing the security of ML models

d6tflow

Python library for building highly effective data science workflows

diffai

A certifiable defense against adversarial examples by training neural networks to be provably robust

dynamic_adv_training

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

ensemble-adv-training

Ensemble Adversarial Training on MNIST

ensemble-adv-training-pytorch

Ensemble Adversarial Training on MNIST with pytorch

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

fazelnia.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

freeadversarialtraining

PyTorch Implementation of Adversarial Training for Free!

imagenet-adversarial-training

ImageNet classifier with state-of-the-art adversarial robustness

langchain

🦜🔗 Build context-aware reasoning applications

mfazelnia

mfazelnia.github.io

Personal Website

ml

models

Models and examples built with TensorFlow

mypy

Optional static typing for Python

ollama

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

openai-cookbook

Examples and guides for using the OpenAI API

pgd-pytorch

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"