Abstract
Users typically do not hesitate to click on a screen sharing button. However, their personal information (such as website bookmarks, notifications, and desktop files) may be revealed unwillingly through such a share. Accordingly, techniques are presented herein that protect a users' private information when they share their entire desktop or separate windows. Aspects of the presented techniques adopt a state of the art (SOTA) object detection model and achieve real-time inference. Further, the incorporated algorithm is lightweight but useful in that it will not impact performance, but it will provide a positive user experience.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Liu, Yifei; Li, Soya; Hu, Han; Xin, Xueying; Chen, Qiaoqian; Chen, Xiaowei; and Ying, Jiaming, "SHARING THE MAJORITY OF A SCREEN BASED ON OBJECT DETECTION", Technical Disclosure Commons, (October 03, 2022)
https://www.tdcommons.org/dpubs_series/5415