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Boffins develop improved image poisoning technique to preserve privacy Share Copy A group of computer scientists has released a privacy-focused web application to poison people s online images so they confuse commercial facial recognition systems. The application, called LowKey, is intended to protect people from unauthorized surveillance. It s based on an adversarial attack technique developed by University of Maryland boffins Valeriia Cherepanova, Micah Goldblum, Shiyuan Duan, John Dickerson, Gavin Taylor, Tom Goldstein, and US Naval Academy researcher Harrison Foley. It alters images so facial recognition systems can t easily use the data to find the depicted person in another image. The researchers describe their work in a paper titled, LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition, distributed via ArXiv and scheduled to be presented at the International Conference on Learning Representations (ICLR) 2021 in May.

Gavin taylorMicah goldblumTom goldsteinJohn dickersonValeriia cherepanovaHarrison foleyShiyuan duanInternational conference on learning representationsUniversity of marylandUs naval academyLeveraging adversarial attacksProtect social media usersFacial recognitionInternational conferenceLearning representationsCamera adversaria