Cross-Device Profiled Side-Channel Attacks using Meta-Transfer Learning-Reference-Cited by-同舟云学术

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Cross-Device Profiled Side-Channel Attacks using Meta-Transfer Learning

Published:2021-12-05 Issue: Volume: Page:
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Container-title:2021 58th ACM/IEEE Design Automation Conference (DAC)
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Author:

Yu Honggang,Shan Haoqi,Panoff Maximillian,Jin Yier

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9585997/9586083/09586100.pdf?arnumber=9586100

Cited by 17 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. TinyPower: Side-Channel Attacks with Tiny Neural Networks;2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST);2024-05-06

2. Modeling of Tamper Resistance to Electromagnetic Side-channel Attacks on Voltage-scaled Circuits;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

3. Keep it unbiased: a comparison between estimation of distribution algorithms and deep learning for human interaction-free side-channel analysis;Journal of Cryptographic Engineering;2023-12-16

4. Deep Learning Method for Power Side-Channel Analysis on Chip Leakages;Elektronika ir Elektrotechnika;2023-12-13

5. Adversarial Profiled Side-Channel Attack with Unsupervised Domain Adaptation;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

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