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adversarial-machine-learning · GitHub Topics · GitHub

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adversarial-machine-learning

Here are 687 public repositories matching this topic...

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  • Updated Dec 12, 2025
  • Python

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

  • Updated Aug 2, 2023
  • Python

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

  • Updated Aug 15, 2026
  • Python

A curated list of useful resources that cover Offensive AI.

  • Updated Aug 1, 2026
  • HTML

A curated list of adversarial attacks and defenses papers on graph-structured data.

  • Updated Dec 15, 2023

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

  • Updated Apr 14, 2026
  • Python

Papers and resources related to the security and privacy of LLMs 🤖

  • Updated Jun 8, 2025
  • Python

T2F: text to face generation using Deep Learning

  • Updated May 14, 2022
  • Python

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

  • Updated Oct 3, 2023
  • Python

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

  • Updated Oct 15, 2023
  • Python

⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs

  • Updated Jan 31, 2024
  • Python

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

  • Updated May 12, 2026
  • Python

GraphGallery is a gallery for benchmarking Graph Neural Networks

  • Updated Aug 14, 2023
  • Python

A curated list of MLSecOps tools and resources for securing machine learning and AI systems - adversarial ML defense, LLM security, AI red teaming, model scanning, supply-chain protection, and MLOps pipeline security.

  • Updated Aug 15, 2026
  • Astro

Provable adversarial robustness at ImageNet scale

  • Updated May 20, 2019
  • Python

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

  • Updated Feb 5, 2023
  • Python

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