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USENIX Security ’23 – GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation – Source: securityboulevard.com

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Source: securityboulevard.com – Author: Marc Handelman

Authors/Presenters: *Sina Sajadmanesh, Ali Shahin Shamsabadi, Aurélien Bellet, Daniel Gatica-Perez*

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access.


Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.

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AIE

*** This is a Security Bloggers Network syndicated blog from Infosecurity.US authored by Marc Handelman. Read the original post at: https://www.youtube-nocookie.com/embed/PwFujm9YGXU?si=ULKsa1bRzezX7moL

Original Post URL: https://securityboulevard.com/2024/04/usenix-security-23-gap-differentially-private-graph-neural-networks-with-aggregation-perturbation/

Category & Tags: Security Bloggers Network,USENIX,USENIX Security ’23 – Security Bloggers Network,USENIX,USENIX Security ’23

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