June 11, 2024, 4:47 a.m. | Christoph Liebender, Ranulfo Bezerra, Kazunori Ohno, Satoshi Tadokoro

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.05726v1 Announce Type: cross
Abstract: The use of AI in public spaces continually raises concerns about privacy and the protection of sensitive data. An example is the deployment of detection and recognition methods on humans, where images are provided by surveillance cameras. This results in the acquisition of great amounts of sensitive data, since the capture and transmission of images taken by such cameras happens unaltered, for them to be received by a server on the network. However, many applications …

abstract acquisition arxiv cameras compression concerns cs.cr cs.cv cs.lg data deployment detection eess.iv example humans image images loss privacy protection public raises recognition results spaces surveillance type

Senior Data Engineer

@ Displate | Warsaw

Junior Data Analyst - ESG Data

@ Institutional Shareholder Services | Mumbai

Intern Data Driven Development in Sensor Fusion for Autonomous Driving (f/m/x)

@ BMW Group | Munich, DE

Senior MLOps Engineer, Machine Learning Platform

@ GetYourGuide | Berlin

Data Engineer, Analytics

@ Meta | Menlo Park, CA

Data Engineer

@ Meta | Menlo Park, CA