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Non-Profiled Side-Channel Attack Based on Deep Learning Using Picture Trace

机译：基于使用图片跟踪的深度学习的非分布侧通道攻击

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Yoo-Seung Won; Dong-Guk Han; Dirmanto Jap; Shivam Bhasin; Jong-Yeon Park;
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年度 2021
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1. Deep learning mitigates but does not annihilate the need of aligned traces and a generalized ResNet model for side-channel attacks [J] . Yuanyuan Zhou, François-Xavier Standaert Journal of cryptographic engineering . 2020,第1期

机译：深度学习缓解但并未歼灭对齐迹线的需要和侧通道攻击的广义Reset模型
2. 2Deep: Enhancing Side-Channel Attacks on Lattice-Based Key-Exchange via 2-D Deep Learning [J] . Kashyap Priyank, Aydin Furkan, Potluri Seetal, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems . 2021,第6期

机译：2Deep：通过2-D深度学习增强基于格子的密钥交换的侧通道攻击
3. Multilabel Deep Learning-Based Side-Channel Attack [J] . Zhang Libang, Xing Xinpeng, Fan Junfeng, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems . 2021,第6期

机译：基于多书的深度学习侧渠攻击
4. On the Performance of Non-Profiled Differential Deep Learning Attacks against an AES Encryption Algorithm Protected using a Correlated Noise Generation based Hiding Countermeasure [C] . Amir Alipour, Athanasios Papadimitriou, Vincent Beroulle, Design, Automation and Test in Europe Conference and Exhibition . 2020

机译：基于相关噪声生成的隐藏对策保护的AES加密算法的非剖析差分深度学习攻击的性能
5. Using Deep Learning Techniques and Genetic-based Feature Extraction for Presentation Attack Mitigation [D] . Jenkins, John M. 2018

机译：使用深度学习技术和基于遗传的特征提取减轻表示攻击
6. Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor [O] . Dat Tien Nguyen, Tuyen Danh Pham, Young Won Lee, 2018

机译：基于深度学习的基于虹膜识别的虹膜识别增强演示攻击检测方法
7. Imbalanced Data Problems in Deep Learning-Based Side-Channel Attacks: Analysis and Solution [O] . Akira Ito, Kotaro Saito, Rei Ueno, 2021

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Non-Profiled Side-Channel Attack Based on Deep Learning Using Picture Trace

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