USENIX Security ’23 – Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities

USENIX Security ’23 – Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities
2024-9-12 03:0:0 Author: securityboulevard.com(查看原文) 阅读量:4 收藏

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Home » Security Bloggers Network » USENIX Security ’23 – Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities

Authors/Presenters:Zizhuang Deng, Guozhu Meng, Kai Chen, Tong Liu, and Lu Xiang, Chunyang Chen

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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*** 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/-Nh8eu9bVGw?si=R_k-Yq962_ui9JtR

文章来源: https://securityboulevard.com/2024/09/usenix-security-23-differential-testing-of-cross-deep-learning-framework-apis-revealing-inconsistencies-and-vulnerabilities/
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