Image forgery detection techniques have evolved into ... Deep learning: A subset of machine learning employing neural networks with multiple layers to autonomously extract high-level features ...

Image forgery detection ... to better target subtle forgery traces in complex images [5]. These contributions underscore the relevance of advanced machine learning methods in ensuring the veracity ...

Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

Regula is upgrading its popular video spectral comparator, the 4306M, to keep pace with the complexities of document ...

Agentic AI can enable us to move beyond static controls and embrace a responsive, risk-aware model of identity governance.

Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

The review by Mubarak Alrashoud analyzes 73 recent studies on deepfake video detection, highlighting advances in visual, ...

VerifyVision-Pro是一个全面的图像伪造篡改检测解决方案，利用深度学习（deep learning）和计算机视觉技术（cv ...