Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
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Updated
Aug 2, 2023 - Python
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
The Security Toolkit for LLM Interactions
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
T2F: text to face generation using Deep Learning
Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
Provable adversarial robustness at ImageNet scale
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs
Papers and resources related to the security and privacy of LLMs 🤖
Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
Create adversarial attacks against machine learning Windows malware detectors
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
A guided mutation-based fuzzer for ML-based Web Application Firewalls
MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
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