Autoscaled-Wavelet Convolutional Layer for Deep Learning-Based Side-Channel Analysis

Author:

Bae Daehyeon1ORCID,Park Dongjun1ORCID,Kim Gyusang1ORCID,Choi Minsig1,Lee Nayeon1ORCID,Kim Heeseok2ORCID,Hong Seokhie1ORCID

Affiliation:

1. School of Cybersecurity, Korea University, Seoul, South Korea

2. Department of AI Cyber Security, College of Science and Technology, Korea University, Sejong, South Korea

Funder

Institute of Information & communications Technology Planning & Evaluation

Korea Government

Development of Physical Channel Vulnerability-based Attacks and its Countermeasures for Reliable On-Device Deep Learning Accelerator Design

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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. An Efficient Hiding Countermeasure with Xilinx MMCM Primitive in Spread Mode;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. Profiling and Non-Profiling Key Retrieval Attacks in Programmable Object Interfaces Using Deep Learning Cryptanalytic Techniques: A Survey;2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT);2024-03-15

3. Spread Spectrum-Based Countermeasures for Cryptographic RISC-V SoC;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024

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