In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...

Researchers identified what they believe is the first documented case of a ransomware operation, JadePuffer, conducted ...

OpenDDE is a preview release. CLI flags, input/output JSON fields, and released checkpoints may change between versions, and predictions are not guaranteed to be reproducible across releases. It is ...

A new free and open source Mac app called FaceGate lets you lock individual apps using Face Unlock,Touch ID, or a password, all processed locally on your device.

Rank One, whose board includes a former CIA deputy director and a former FBI science chief, supplied face recognition to Meta for internal development of its smart glasses app. Meta is testing ...

A PreToolUse hook that intercepts and blocks destructive git and filesystem commands before AI coding agents run them. CC Safety Net parses command semantics — so flag reordering, shell wrappers, and ...

Moonshot AI just dropped Kimi-K2.7-Code, an open-source coding model that wants to make AI-assisted programming less wasteful and more capable. The Beijing-based company claims the model cuts ...

more than 50 million times. A day later, the company removed it. Meta won't tell us why or whether it's coming back. Let's start at the beginning and explain why this matters.

This week, Meta removed facial recognition code from its Meta AI companion app after reporting by WIRED revealed that the company had already embedded substantial portions of an unreleased facial ...

Only a day after a dormant bit of code that seemed to be a facial recognition algorithm was discovered in a companion app for its smart glasses, Meta released an update which removed that code, Wired ...

Abstract: This paper addresses the jamming detection problem in colored noise environments. Low-power attacks are particularly dangerous due to their stealthiness and persistent harmful effects. The ...

Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...