A list of Papers on anomaly detection. You are welcome to open an issue and pull your requests if you think any paper that is important but not are inclueded in this repo. The papers are orgnized in ...

Despite its promise, AI-driven anomaly detection still faces challenges. Potential biases in AI models and the need for large, high-quality datasets must be addressed to ensure accurate findings. The ...

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Abstract: Zero-shot anomaly detection (ZSAD) aims to develop a foundational model capable of detecting anomalies across arbitrary categories without relying on reference images. However, since ...

Ankit Masrani worked as a software engineer at AWS before landing a security job at Microsoft.

AI-powered security measures enhance fraud detection, transaction monitoring, and risk prevention for decentralized ...

Unlike traditional cryptographic systems, this approach ensures long-term resilience, positioning THSYU as a leader in an ...

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Yasmin Hashmi presents the highlights of what was shown on the KNX stand by KNX member companies at ISE 2025.

He added that machine learning and anomaly detection is also useful for working on security product services. Masrani also recommends experience with cloud services like AWS or Microsoft Azure to ...

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