Cache Shaping

Author:

Li Haipeng1,Niu Nan1,Wang Boyang1

Affiliation:

1. University of Cincinnati, Cincinnati, OH, USA

Funder

National Science Foundation

Publisher

ACM

Reference43 articles.

1. REFERENCES [1] [n.d.]. Cache Shaping Defense. https://github.com/UCdasec/CacheShaping REFERENCES [1] [n.d.]. Cache Shaping Defense. https://github.com/UCdasec/CacheShaping

2. [n.d.]. Mozilla Foundation. Security advisory 2018-01. https://www.mozilla.org/ en-US/security/advisories/mfsa2018-01/ [n.d.]. Mozilla Foundation. Security advisory 2018-01. https://www.mozilla.org/ en-US/security/advisories/mfsa2018-01/

3. [n.d.]. NNI: An open source AutoML toolkit for neural architecture search and hyper-parameter tuning. https://github.com/Microsoft/nni [n.d.]. NNI: An open source AutoML toolkit for neural architecture search and hyper-parameter tuning. https://github.com/Microsoft/nni

4. [n.d.]. Selenium automates browsers. https://www.selenium.dev/ [n.d.]. Selenium automates browsers. https://www.selenium.dev/

5. [n.d.]. SPEC CPU 2017 Benchmarks. https://www.spec.org/cpu2017/ [n.d.]. SPEC CPU 2017 Benchmarks. https://www.spec.org/cpu2017/

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DefWeb: Defending User Privacy against Cache-based Website Fingerprinting Attacks with Intelligent Noise Injection;Annual Computer Security Applications Conference;2023-12-04

2. A Survey on Deep Learning for Website Fingerprinting Attacks and Defenses;IEEE Access;2023

3. AdvTraffic: Obfuscating Encrypted Traffic with Adversarial Examples;2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS);2022-06-10

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