Benjamin Hettwer

Orcid: 0000-0002-2164-6316

According to our database1, Benjamin Hettwer authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2023

2021
Deep learning-enhanced side-channel analysis of cryptographic implementations.
PhD thesis, 2021

Side-Channel Analysis of the Xilinx Zynq UltraScale+ Encryption Engine.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021

Moving Target and Implementation Diversity Based Countermeasures Against Side-Channel Attacks.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2021

Increasing Side-Channel Resistance by Netlist Randomization and FPGA-Based Reconfiguration.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2021

2020
Applications of machine learning techniques in side-channel attacks: a survey.
J. Cryptogr. Eng., 2020

Encoding Power Traces as Images for Efficient Side-Channel Analysis.
Proceedings of the 2020 IEEE International Symposium on Hardware Oriented Security and Trust, 2020

Lightweight Side-Channel Protection using Dynamic Clock Randomization.
Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

Deep Learning Multi-Channel Fusion Attack Against Side-Channel Protected Hardware.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
Deep Neural Network Attribution Methods for Leakage Analysis and Symmetric Key Recovery.
IACR Cryptol. ePrint Arch., 2019

Securing Cryptographic Circuits by Exploiting Implementation Diversity and Partial Reconfiguration on FPGAs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Profiled Power Analysis Attacks Using Convolutional Neural Networks with Domain Knowledge.
Proceedings of the Selected Areas in Cryptography - SAC 2018, 2018


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