
MADLIRA
Malware detection using learning and information retrieval for Android

Malware detection using learning and information retrieval for Android

C-based Android static analysis framework for decompilation, secret detection, endpoint discovery, permission analysis, and native library scanning…

A machine learning malware analysis framework for Android apps.

Official code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing

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

Memory-free continual learning framework for malware classification using mode connectivity-based interpolation. Supports class-incremental and…

Image-based Android malware detection framework tackling obfuscation and concept drift. Includes curated datasets and Python code for training…

Droidefense: Advance Android Malware Analysis Framework

Google Tensor Cracks

Self-hosted multi-agent environment for Go with LLM-powered pentesting agents (exploiter, reverser, threathunter, webscanner) that automate…

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

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and…

Active Directory LDAP Security Auditor with AI-Powered Analysis - By Ayi NEDJIMI https://ayinedjimi-consultants.fr

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…

A python library for user-friendly forecasting and anomaly detection on time series.