Meta Quietly Removes Face-Recognition Code From Its Smart Glasses App

The 'disappearing into the bushes like Homer Simpson' strategy is a bold choice.
The Next Web

Meta pulled facial recognition code from its smart glasses app one day after WIRED found it, then denied the timing was related

Meta removed NameTag facial recognition code from its AI app after WIRED found biometric software on 50 million phones that Meta said "does not exist." ...

Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones

Code reviewed by WIRED uncovered an unreleased face-recognition system embedded in Meta’s smart glasses platform. It’s ...

Wired Found Code For An Unreleased Facial Recognition Feature In Meta's AI App

Meta was previously reported to be exploring facial recognition for its smart glasses.

Meta Deletes Face-Recognition System From Its Smart Glasses App After WIRED Report

The code WIRED identified is gone from the latest version of Meta AI, the companion app for the company’s smart glasses. Meta ...

Meta quietly added facial recognition to smart glasses, sparking major privacy concerns: report

Meta has been quietly laying the groundwork for smart glasses that could identify people as wearers of the shades walk by, ...

Malicious Hugging Face Models Could Trigger Remote Code Execution

A flaw in Hugging Face Transformers could allow malicious AI models to execute code, exposing credentials and highlighting AI ...

Meta quietly added facial recognition code for smart glasses to its app, says it's just exploring

The company says it's not building a central face database.
Biometric Update

Notre Dame researchers release open-source iris recognition tools built for NIST testing

The work addresses a gap in biometric testing, as NIST’s IREX has focused primarily on closed-source commercial iris ...
IEEE

Two-Stream Prototype Learning Network for Few-Shot Face Recognition Under Occlusions

Abstract: Few-shot face recognition under occlusion (FSFRO) aims to recognize novel subjects given only a few, probably occluded face images, and it is challenging and common in real-world scenarios.
IEEE

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps

Abstract: The objective of this paper is to develop a novel emotion recognition system from electroencephalogram (EEG) signals using effective connectivity and deep learning methods. Emotion ...