Topological Data Analysis (TDA) and Topological Machine Learning (TML) comprise a set of powerful techniques whose ability to extract robust geometric information has led to novel insights in the ...

Abstract: Fuzzing is a popular and effective software testing technique that automatically generates or modifies inputs to test the stability and vulnerabilities of a software system, which has been ...

Abstract: With the advancement of connected and automated vehicles (CAVs), drivers now have access to convenient features such as lane-keeping, cruise control, and more. The electronic control units ...

They may work well on the programs from which they were derived, but not others. To overcome this problem, we design a Machine learning-Enhanced hybrid fUZZing system (MEUZZ), which employs supervised ...

ORANClaw operates as a Man-in-the-Middle (MitM) proxy on the E2 interface, intercepting and mutating E2AP messages between Near-RT RIC and E2 Nodes.

Explore the latest news and expert commentary on Application Security, brought to you by the editors of Dark Reading ...

Google released a Chrome update addressing 382 security bugs, including sandbox-escape risks. Users and IT teams should ...

Certification of Machine Learning Models via Directional Sharpness Gefei Tan, Adria Gascon, Sarah Meiklejohn, Mariana Raykova Speculative Decoding at Temperature Zero: A Scoped Safety-Invariance ...

We demonstrate two case studies using the data. The first uses the provided labels for actions to automatically identify vehicle components in the CAN data, and the second study uses the GPS ...

Terms often used in cybersecurity discussions and education, briefly defined. Your corrections, suggestions, and recommendations for additional entries are welcome: email the editor at editor@n2k.com.