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Titlebook: Computer Security – ESORICS 2023; 28th European Sympos Gene Tsudik,Mauro Conti,Georgios Smaragdakis Conference proceedings 2024 The Editor(

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樓主: ISH
51#
發(fā)表于 2025-3-30 08:18:37 | 只看該作者
MARF: A Memory-Aware CLFLUSH-Based Intra- and Inter-CPU Side-Channel Attackeal NUMA systems demonstrate that MARF can robustly be used to attack applications that use widely-used cryptographic and user-interface libraries. We also present potential countermeasures against MARF.
52#
發(fā)表于 2025-3-30 12:25:43 | 只看該作者
Everlasting ROBOT: The Marvin Attacke differences. We publish a set of tools for testing libraries that perform RSA decryption against timing side-channel attacks, including one that can test arbitrary TLS servers with no need to write a test harnesses. Finally, we propose a set of workarounds that implementations can employ if they can’t avoid the use of RSA.
53#
發(fā)表于 2025-3-30 17:38:54 | 只看該作者
0302-9743 ernet; privacy; and remote...Part III: Attacks; blockchain; and miscellaneous..Part IV: Machine learning; software and systems security...?.978-3-031-51478-4978-3-031-51479-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
54#
發(fā)表于 2025-3-30 21:56:08 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233873.jpg
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發(fā)表于 2025-3-31 18:54:30 | 只看該作者
https://doi.org/10.1007/978-0-387-75472-7ttacks. Face-recognition systems in near-infrared (NIR ) are widely deployed for critical tasks (e.g., access control), and are hypothesized to be more secure due to the lower variability and dimensionality of NIR images compared to VIS ones. However, the actual robustness of NIR -based face recogni
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