IMDLBenCo is a comprehensive framework for image manipulation detection and localization (IMLD) research. It provides a unified interface for training, evaluating, and benchmarking deep learning models on standard forensic datasets. The architecture centers around a modular design with registries for models, datasets, and post-processing functions, enabling easy experimentation. Key components include dataset handlers with built-in augmentation and edge mask generation, a distributed training loop with mixed precision support, and evaluation metrics compatible with multi-GPU synchronization. The project serves as both a library for researchers and a reproducible benchmark for state-of-the-art IMLD methods.
This repository serves as the central community hub for the freeRASP mobile security SDK. It does not contain any source code itself; instead, it aggregates platform-specific implementations (Android, iOS, Flutter, React Native, etc.) via Git submodules. The actual security detection logic, integration APIs, and threat monitoring are implemented in the respective submodule repositories. This meta-repo provides documentation, issue tracking, and release coordination across platforms. It is well-maintained with active issue triage and a CI workflow for issue monitoring. The project is licensed under MIT with a fair usage policy.