Fake It Till You Make It: Data Augmentation Using Generative Adversarial Networks for All the Crypto You Need on Small Devices-Reference-Cited by-同舟云学术

Fake It Till You Make It: Data Augmentation Using Generative Adversarial Networks for All the Crypto You Need on Small Devices

Published:2022 Issue: Volume: Page:297-321
ISSN:0302-9743
Container-title:Topics in Cryptology – CT-RSA 2022
language:
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Author:

Mukhtar Naila^ORCID,Batina Lejla,Picek Stjepan^ORCID,Kong Yinan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-95312-6_13

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3. Zaid, G., Bossuet, L., Habrard, A., Venelli, A.: Methodology for efficient CNN architectures in profiling attacks. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2020(1), 1–36 (2019)

4. Picek, S., Heuser, A., Guilley, S.: Profiling side-channel analysis in the restricted attacker framework. IACR Cryptology ePrint Archive 2019, 168 (2019)

5. Picek, S., Heuser, A., Jovic, A., Bhasin, S., Regazzoni, F.: The curse of class imbalance and conflicting metrics with machine learning for side-channel evaluations. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2019(1), 209–237 (2018)

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