Beacon Object File (BOF) launcher - library for executing BOF files in C/C++/Zig applications

🎃 PumpBin is an Implant Generation Platform.

Adversary Emulation Framework

QROA: A Black-Box Query-Response Optimization Attack on LLMs

A New Context-Aware Framework for Defending Against Adversarial Attacks in Hyperspectral Image Classification (IEEE TGRS 2023)

Universal Adversarial Perturbations for Vision-Language Pre-trained Models

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

Quadratic Upper Bound Loss for Robust Adversarial Training

The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now". This work introduces one fast and effective attack method to evaluate the harmful-content generation ability of safety-driven unlearned diffusion models.

The largest and most challenging benchmark for machine-generated text detectors. (ACL 2024)

A suite for hunting suspicious targets, expose domains and phishing discovery

Python toolkit for speech processing

Generate adversarial patches against YOLOv5 🚀

[Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness

[NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

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

DeepDefend is an open-source Python library for adversarial attacks and defenses in deep learning models, enhancing the security and robustness of AI systems.

a collection of small machine learning projects

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models