The fastest && easiest LLM security and privacy guardrails for GenAI apps.
-
Updated
Jun 10, 2024 - Python
The fastest && easiest LLM security and privacy guardrails for GenAI apps.
A curated list of trustworthy deep learning papers. Daily updating...
TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
CTF challenges designed and implemented in machine learning applications
Code for "FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems" @ CVPR 2021
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Radio Frequency Machine Learning with PyTorch
The Security Toolkit for LLM Interactions
Official Source Code of the paper "Exploring Effective Data for Surrogate Training Towards Black-box Attack", which is accepted by CVPR 2022
A curated list of useful resources that cover Offensive AI.
RSS feed for adversarial example papers.
Feature Scattering Adversarial Training (NeurIPS19)
Parseval Networks and Adversarial Examples
FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids
Papers and resources related to the security and privacy of LLMs 🤖
Generate adversarial patches against YOLOv5 🚀
ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.
Official implementation of "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models"
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
Birhanu Eshete is an Associate Professor of Computer Science at the University of Michigan, Dearborn. His main research focus is in trustworthy machine learning with emphasis on security, safety, privacy, interpretability, fairness, and the dynamics thereof. He also studies online cybercrime and advanced and persistent threats (APTs).
Add a description, image, and links to the adversarial-machine-learning topic page so that developers can more easily learn about it.
To associate your repository with the adversarial-machine-learning topic, visit your repo's landing page and select "manage topics."