Analyzing Cache Side Channels Using Deep Neural Networks-Reference-Cited by-同舟云学术

Analyzing Cache Side Channels Using Deep Neural Networks

Published:2018-12-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 34th Annual Computer Security Applications Conference
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Author:

Zhang Tianwei,Zhang Yinqian¹,Lee Ruby B.²

Affiliation:

1. The Ohio State University

2. Princeton University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3274694.3274715

Reference59 articles.

1. {n. d.}. Kernel Samepage Merging. http://www.linux-kvm.org/page/KSM. {n. d.}. Kernel Samepage Merging. http://www.linux-kvm.org/page/KSM.

2. J. Bacelar Almeida Manuel Barbosa Jorge S. Pinto and Bárbara Vieira. 2013. Formal verification of side-channel countermeasures using self-composition. Sci. Comput. Program. (2013). 10.1016/j.scico.2011.10.008 J. Bacelar Almeida Manuel Barbosa Jorge S. Pinto and Bárbara Vieira. 2013. Formal verification of side-channel countermeasures using self-composition. Sci. Comput. Program. (2013). 10.1016/j.scico.2011.10.008

3. Sarani Bhattacharya Chester Rebeiro and Debdeep Mukhopadhyay. 2012. Hardware Prefetchers Leak: A Revisit of SVF for Cache-Timing Attacks. In Hardware and Architectural Support for Security and Privacy. Sarani Bhattacharya Chester Rebeiro and Debdeep Mukhopadhyay. 2012. Hardware Prefetchers Leak: A Revisit of SVF for Cache-Timing Attacks. In Hardware and Architectural Support for Security and Privacy.

4. Cache-Collision Timing Attacks Against AES

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