
Awesome-LLMs-for-Vulnerability-Detection
The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers…

The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers…

Curated list of backdoor learning papers, surveys, and toolboxes, organizing poisoning-based attacks and defenses in deep learning for researchers…

An open-source digital image forensic toolset

MCP Server for Ghidra

A curated list of useful resources that cover Offensive AI.

List of tools & datasets for anomaly detection on time-series data.

A list of covert channels and steganography/steganalysis resources (books, papers & tools)

Curated reading list and taxonomy of attack and defense research for mobile on-device AI systems, covering adversarial, backdoor, model stealing, and…

Diagnostic LLM safety benchmark with 3,489 bilingual prompts, an 84-label taxonomy, and prompt-level rubric judging for explainable, fine-grained…

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports…

QuantumLock is an open-source, quantum-resistant Bitcoin protocol designed to protect digital assets from future quantum computing threats. Featuring…

Open standard for documenting security-relevant metadata of AI models, including training data provenance, PII risk, known vulnerabilities, and…

Decentralized Autonomous Research Collective. Lean 4-verified, IPFS-backed, agent-native. Production paper: arXiv:2604.19792. Live at p2pclaw.com.

A curated portfolio showcasing my SOC investigations, threat hunting projects, DFIR labs, detection engineering, technical blogs, and cybersecurity…

Curated systematic literature review of 756+ papers on LLM applications in cybersecurity, covering threat intelligence, vulnerability detection,…

NotebookLM on steroids — purpose-built for security researchers.

This repository hosts a multimodal web attack dataset (MWAD) to advance AI-driven threat detection research.

An implementation of the FAIR CRQ Framework