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 ...
The code WIRED identified is gone from the latest version of Meta AI, the companion app for the company’s smart glasses. Meta won’t say why or whether it’s coming back. The most recent version of Meta ...
Meta’s AI app now includes facial recognition code for its smart glasses, despite the company’s previous assurances that it had not decided whether to introduce the technology. An analysis of the ...
A flaw in Hugging Face Transformers could allow malicious AI models to execute code, exposing credentials and highlighting AI supply chain risks. Organizations using vulnerable versions of the Hugging ...
Code reviewed by WIRED uncovered an unreleased face-recognition system embedded in Meta’s smart glasses platform. It’s designed to identify people via biometric data stored on users’ phones. Code ...
Pluto Security Inc. today disclosed a critical remote code execution vulnerability in Hugging Face Inc.’s Transformers library that allowed attacker-controlled artificial intelligence models to run ...
Morphing attack detection (MAD) was a major theme of the European Association for Biometrics’ (EAB’s) workshop on live enrollment last year, and as AI makes sophisticated biometric spoof attacks more ...
Abstract: Traditional attendance systems are time-consuming, prone to errors, and vulnerable to proxy attendance. To address these challenges, a Face Recognition Based Attendance System using Python ...
Feature Pyramid Network (FPN) (V2 Optimization Core) Instead of resizing image pyramids which is computationally heavy, V2 introduces an FPN that adopts a top-down pathway and lateral connections to ...
face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...