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 ...

In this repository, we provide a continuously updated collection of popular real-world datasets used for anomaly detection in the literature. Some of the datasets are converted from imbalanced ...

Company Enters $1 Billion Marketplace Projected to Double by 2029Advanced Beta Version is Being Demo'd to Major Prospective Partners New Patent ...

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

Governments across Indian River County are planning for the future, but readers have questions about two issues in the city ...

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

Abstract: Given a series of user action sequences, Contextual Sequence-Based User Behavior Anomaly Detection (CS-UBAD) identifies anomalous sequences that deviate from normal behavior patterns. The CS ...

The U.S. FDA hasn’t taken up criminal justice as a sideline, but it did just clear Sonio Suspect. Far from a social miscreant, Suspect improves detection of fetal anomalies by 22 points by ...

These disasters are not accidents. They are symptoms of PGW’s failure to prioritize safety over profit, leaving communities ...

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 ...