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USENIX Security 23 – Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree


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2024-08-07 15:09:06
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Authors/Presenters:Wen-jie Lu, Zhicong Huang, Qizhi Zhang, Yuchen Wang, Cheng Hong


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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The post USENIX Security ’23 – Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree appeared first on Security Boulevard.



Marc Handelman

Source: Security Boulevard
Source Link: https://securityboulevard.com/2024/08/usenix-security-23-squirrel-a-scalable-secure-two-party-computation-framework-for-training-gradient-boosting-decision-tree/


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