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: concerns (P110): Microsoft Azure (Q2984)) |
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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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Latest revision as of 07:44, 29 July 2020
article presented at the 29th USENIX Security Symposium in July 2020
| Language | Label | Description | Also known as |
|---|---|---|---|
| English |
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models
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article presented at the 29th USENIX Security Symposium in July 2020
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Statements
July 2020
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