
cve-bench
A benchmark for evaluating AI agents on fixing real-world security vulnerabilities.

A benchmark for evaluating AI agents on fixing real-world security vulnerabilities.

Graph-based threat detection system using inexact graph vector matching to compare threat graphs with CTI-derived attack query graphs for automated…

This repository provides the official implementation of POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models.

A serverless networking protocol designed for resilient state synchronization between autonomous agents in fragmented, low-bandwidth networks

Multi-format malware analysis platform combining a stealth Ring-3 Windows sandbox, static PE/PDF analyzers, ransomware key recovery, and an AI…

Inference scaling for LLM safety assurance

Robust audio watermarking framework embedding binary messages into magnitude spectrograms, with differentiable attack simulation, Q-Former pooling,…

Proof-of-concept and research repository for CVE-2024-37054, an unsafe deserialization flaw in MLflow PyFunc model loading that can lead to remote…

Stop prompt injection attacks before they reach your LLM — zero API costs, runs entirely locally, integrates in 2 minutes. Prompt injection is the…

A next-generation multi-echelon anti-ransomware fortress for Windows, combining hypervisor, eBPF, AI deception, and hardware-enforced security.

Research code for HARDE, an agent harness that probes and adaptively optimizes components for runtime risk detection and execution control across…

Research code for a gray-box trojan attack that flips a single KV-cache bit in fine-tuned LLM classifiers and measures per-class attack success rate.

Adversary-resilient deep learning architecture for secure 5G indoor localization, combining CNN and multi-head attention to defend against signal…

Benchmark and defense code for persistent memory attacks on OpenClaw-style computer-use agents, with memory-zoning mitigation, attack scenarios, and…

Experiments for control-token chain-of-thought suppression and parser-leniency attacks on tool-using LLM agents

Detects unknown jailbreak attacks in large vision-language models using hidden state analysis and autoencoders, with training and evaluation…

GNU Radio module for physical layer security using deep learning channel fingerprinting, feature quantization, and SHA3-512 key generation from SDR…

The code in "DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization"