Researchers at the University of Notre Dame have developed a new open-source toolkit intended to make iris recognition technology more transparent, easier to test, and more accessible to academic ...

When patching isn’t fast enough, NDR helps contain the next era of threats. If you’ve been tracking advancements in AI, you know the exploit window, the short buffer that organizations relied on to ...

Abstract: Software vulnerabilities pose significant security threats to modern systems, particularly those involving complex execution sequences and intricate call relationships across multiple ...

In this project we have worked on the problem of human detection,face detection, face recognition and tracking an individual. Our project is capable of detecting a human and its face in a given video ...

Threat actors are testing malware that incorporates large language models (LLMs) to create malware that can evade detection by security tools. In an analysis published earlier this month, Google's ...

Detection as code (DaC) is a powerful way for security teams to streamline rule development, automate threat detection, and respond to attacks with greater speed and precision. The DaC approach ...

To fix the way we test and measure models, AI is learning tricks from social science. It’s not easy being one of Silicon Valley’s favorite benchmarks. SWE-Bench (pronounced “swee bench”) launched in ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

1 College of Computing, Georgia Institute of Technology, Atlanta, GA, USA. 2 School of Cybersecurity and Privacy, Georgia Institute of Technology, Atlanta, GA, USA ...

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