Extracting Secrets from Machine Learning Systems
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Full article96 words · extracted from schneier.com · click to collapse
This is fascinating research about how the underlying training data for a machine-learning system can be inadvertently exposed. Basically, if a machine-learning system trains on a dataset that contains secret information, in some cases an attacker can query the system to extract that secret information. My guess is that there is a lot more research to be done here.
EDITED TO ADD (3/9): Some interesting links on the subject.
Tags: academic papers, data mining, secrecy
Sidebar photo of Bruce Schneier by Joe MacInnis.
Text extracted automatically; images, tables and formatting may be missing. Original: https://www.schneier.com/blog/archives/2018/03/extracting_secr.html