
DVDR_LLM
Ensemble framework for software vulnerability detection and repair using multiple large language models, with consensus analysis and evaluation tools…

Ensemble framework for software vulnerability detection and repair using multiple large language models, with consensus analysis and evaluation tools…

reverse engineering SynthID for text

Open-source OCR engine with LSTM neural network models for extracting text from images and scanned documents in 100+ languages via CLI, C/C++…

Deep learning framework for object detection, segmentation, classification, pose estimation, and tracking using pre-trained YOLO models and…

NVR with realtime local object detection for IP cameras

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

Programmable guardrails for LLM chat apps: enforce input/output rails, block jailbreaks and prompt injections, detect hallucination, and mask…

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Python library for adversarial machine learning security, enabling red and blue teams to run evasion, poisoning, extraction, and inference attacks…

Security Scanner for Agent Skills

AI-powered threat intelligence platform for automated CVE/ransomware monitoring, domain surveillance, data leak detection, and incident response with…

A unified framework for privacy-preserving data analysis and machine learning

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

Deep Learning models for network traffic classification

image scaling attacks for multi-modal prompt injection

Convolutional neural network for analyzing pentest screenshots

Research runtime for differentiable neural computers, GPU-based CPU emulation, and program synthesis. Features neural ALU, constant-time crypto, JEPA…

Train, evaluate, and explore neural networks with built-in adversarial robustness tools, including PGD attacks, adversarial training, and robust…