Difference between revisions of "Fawkes: Protecting Privacy against Unauthorized Deep Learning Models (Q4914)"

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(‎Created claim: official website (P15): http://people.cs.uchicago.edu/%7Eravenben/publications/abstracts/fawkes-usenix20.html)
(‎Created claim: quote (P203): Fawkes, a system that helps individuals inoculate their images against unauthorized facial recognition models. Fawkes achieves this by helping users add imperceptible pixel-level changes (we call them“cloaks”) to their own photos before releasing them.)
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July 2020
Timestamp+2020-07-00T00:00:00Z
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CalendarGregorian
Precision1 month
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Property / concerns: facial recognition data / rank
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Property / concerns: Clearview.AI / rank
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Fawkes, a system that helps individuals inoculate their images against unauthorized facial recognition models. Fawkes achieves this by helping users add imperceptible pixel-level changes (we call them“cloaks”) to their own photos before releasing them.
Property / quote: Fawkes, a system that helps individuals inoculate their images against unauthorized facial recognition models. Fawkes achieves this by helping users add imperceptible pixel-level changes (we call them“cloaks”) to their own photos before releasing them. / rank
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Normal rank

Revision as of 07:39, 29 July 2020

article presented at the 29th USENIX Security Symposium in July 2020
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English
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models
article presented at the 29th USENIX Security Symposium in July 2020

    Statements

    July 2020
    0 references
    0 references
    Fawkes, a system that helps individuals inoculate their images against unauthorized facial recognition models. Fawkes achieves this by helping users add imperceptible pixel-level changes (we call them“cloaks”) to their own photos before releasing them.
    0 references