[Tech Talk] New Research Proposes Data Poisoning Technology To Protect Facial Recognition Systems from Using Scraped Photos

ZDNET reports that researchers propose a new method of “data poisoning” to add cloaking pixels to photos to break facial recognition scanned and run through deep learning systems to protect online photos from being added to facial recognition databases.

" In a paper (.PDF) due to be presented at the USENIX Security 2020 symposium, researchers Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, and Ben Zhao introduce “Fawkes,” software designed to “help individuals inoculate their images against unauthorized facial recognition models.”


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