Deepfake X-Rays Fool Radiologists In New Study—AI Has Turned Medical Fraud Into A Volume Problem

Generative AI has opened medical record forgery to a much wider pool of bad actors. Defense requires layers—AI, human in the ...
IEEE

Deep Learning for Video Anomaly Detection: A Review

Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
The New York Times

YouTube Adds Tool to Help Public Figures Report Fake Videos

Social media companies are under pressure to crack down on so-called deepfake videos that use deceptive images of real people. By Natallie Rocha Reporting from San Francisco YouTube is adding a ...
GitHub

A professional Python project for detecting anomalies in historical stock prices using advanced statistical and machine learning methods. Designed for recruiters, data ...

Professional, modular analysis of historical stock prices using multiple anomaly detection methods (Z-Score, Isolation Forest, DBSCAN, Prophet, Rolling Quantile). Includes multi-ticker comparison, ...
GitHub

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

07.2025: Dinomaly has been integrated in Intel open-edge Anomalib in v2.1.0. Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for ...
Medical Xpress

Deep learning system could transform skin cancer detection with near-perfect accuracy

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...
Scientific Research Publishing

Sharma, A., Sahay, R. and Gupta, M. (2020) Deep Learning-Based Intrusion Detection Systems: A Comparative Analysis. Computers & Security, 97, Article 101857.

ABSTRACT: The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based ...
Scientific Research Publishing

Thakur, V. and Singh, A. (2021) Real-Time Intrusion Detection System Using Deep Learning. Procedia Computer Science, 191, 607-614.

ABSTRACT: The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based ...