The latest results of the National Institute for Standards and Technology Face Analysis Technology Evaluation Age Estimation & Verification (FATE AEV) are up.
Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.
Social media algorithms change constantly, making it hard to maintain consistent reach and engagement. This article breaks ...
Public displays of Jewish worship have become hunting grounds. The deadly attack on the Sydney Jewish community at Bondi Beach this weekend, where people were gathering for a Hanukkah celebration, ...
Meta is giving Instagram users a rare glimpse into why certain posts are showing up on their Reels, the platform’s feed of algorithmically curated videos. Starting today, users will now see a list of ...
Canaries act as ‘trip wires’ for cyber attackers and provide an early warning of intrusion Tracebit launched in 2023 to solve the difficulty of deploying and automating canaries at scale. Since that ...
Abstract: Community detection in social networks is a fundamental challenge in network science driven by the increasing complexity of online platforms. In a given network, a community is a group of ...
The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.
Introduction: We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in ...
AUSTIN, Texas— Eagle Eye Networks today introduced Eagle Eye Gun Detection, a new security layer for schools, institutions of higher education and communities that works with existing security cameras ...
More than 800 U.S. TikTok users shared their data with The Washington Post. We used it to find out why some people become power users, spending hours per day scrolling. Each circle in the chart ...