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USENIX Security ’23 – GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
Security Boulevard securityboulevard.com
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.
The post USENIX Security ’23 – GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation appeared first on Security Boulevard.
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