Difference between revisions of "Fawkes: Protecting Privacy against Unauthorized Deep Learning Models (Q4914)"
Jump to navigation
Jump to search
(Created claim: concerns (P110): Clearview.AI (Q3826)) |
(Created claim: concerns (P110): Microsoft Azure (Q2984)) |
||
| (3 intermediate revisions by the same user not shown) | |||
| Property / concerns | |||
| + | |||
| Property / concerns: Face++ / rank | |||
| + | Normal rank | ||
| Property / concerns | |||
| + | |||
| Property / concerns: Amazon Rekognition / rank | |||
| + | Normal rank | ||
| Property / concerns | |||
| + | |||
| Property / concerns: Microsoft Azure / rank | |||
| + | Normal rank | ||
| 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. | ||
| 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 | |||
| + | Normal rank | ||
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
|
article presented at the 29th USENIX Security Symposium in July 2020
|
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