
MADLIRA
Malware detection using learning and information retrieval for Android

Malware detection using learning and information retrieval for Android

The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

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

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

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

A machine learning malware analysis framework for Android apps.

Google Tensor Cracks

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

Droidefense: Advance Android Malware Analysis Framework

Android Antivirus which doesn't require root, adb, ca install and cloud with many features and ways to detect more zero-day malware

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

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