#1ML-based security tools, adversarial machine learning, and AI-powered cyber defense.
Kitploit recommended
skac44/cve-2024-38063Simulates CVE-2024-38063 TCP/IP remote code execution attack, captures network traffic with TShark, and trains a machine learning model to detect…
cossas/certitudeCERTITUDE - A python package to classify URLs as malicious or benign
jd0965199-oss/ethibenchEvaluation framework for AI penetration testing agents that measures validated vulnerability discovery using LLM-based semantic matching, bipartite…
renweimeng/vlun-agent-xVulnAgent-X: A Layered Agentic Framework for Repository-Level Vulnerability Detection
centisgood/duo-agentflow-auditorAI Code Security — four agents that catch what SAST misses in AI-generated code. Built on GitLab Duo Agent Platform.
soildworks/agentic-clip-benchmarkAn automated, high-precision zero-shot evaluation pipeline for OpenAI's CLIP model on CIFAR-10. Features 88.80% accuracy, Safetensors security…
yadavmukesh/log4shell-vulnerability-cve-2021-44228-This repository provides an in-depth analysis of the Log4Shell vulnerability (CVE-2021-44228) and implements a machine learning-based approach to…
hh-hunter/ml-cve-2023-1177Machine learning-based exploit for CVE-2023-1177 vulnerability, enabling automated security testing and exploitation of the identified flaw.
shoucheng3/apache__uima-uimaj_cve-2022-32287_3-3-0Java SDK for building analytics pipelines that process and enrich unstructured text data with annotations, type systems, and modular analysis engines.
davidc1212/crawRobust audio watermarking framework embedding binary messages into magnitude spectrograms, with differentiable attack simulation, Q-Former pooling,…
ghostwolflab/ai_security_topA structured knowledge base covering AI security fundamentals, threat modeling, red team offensive techniques, and blue team defenses, including LLM…
atsukisato/pgm-attackResearch code for poisoning attacks on the PGM-index, demonstrating how to craft adversarial data to degrade learned index performance.
cucu220123/safety-awarenessResearch code for extracting and training safety-awareness directions in multimodal LLMs to improve refusal behavior while limiting benign-task drift.
qkrrkd90-source/weavemarkReference implementation of a multi-bit LLM watermarking scheme using coded payload spreading, unbiased reweighting, and soft-decision ECC decoding…
trailofbits/privacyravenPrivacy testing library for deep learning systems, enabling assessment of susceptibility to membership inference, model extraction, and model…
protectai/rebuffMulti-layered prompt injection detector for AI applications using heuristics, LLM-based analysis, vectorDB attack signatures, and canary token leak…
