
MADLIRA
Malware detection using learning and information retrieval for Android

Malware detection using learning and information retrieval for Android

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

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.

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

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

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

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

Google Tensor Cracks

Droidefense: Advance Android Malware Analysis Framework