As tech giant Open AI launched its flagship Sora 2 video and audio generational model in September 2025, deepfake videos have flooded social media platforms, making audiences increasingly familiar ...

Discover the leading code analysis tools for DevOps teams in 2025. Enhance your software development process with automated security and quality checks to mitigate risks and improve code health.

Learn how to stop credential stuffing attacks with advanced detection and protection strategies for Enterprise SSO and CIAM solutions.

Scanning for serious structural issues in fetuses during the first trimester can result in earlier detection of these issues, reports a new study led by Aris Papageorghiou at the University of Oxford, ...

Abstract: With the growing demand for wireless communication services, efficient anomaly detection in the electromagnetic spectrum is crucial to ensure service quality and prevent illegal spectrum ...

[CVPR 2025] Official Implementation of "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection". The first multi-class UAD model that can compete with single-class SOTAs - ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...

├── src/ # Source code modules │ ├── lstm_model.py # LSTM implementation with PyTorch │ ├── forecasting_models.py # ARIMA, Prophet, and statistical models │ ├── anomaly_detection.py # Anomaly ...

Arctera has added AI-powered anomaly detection to its InfoScale data management platform to monitor live data-access activity to identify potential ransomware attacks. The new features analyze data ...

Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...