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Benjamin Hettwer
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2020 – today
- 2024
- [c10]Luca Parrini, Taha Soliman, Benjamin Hettwer, Jan Micha Borrmann, Simranjeet Singh, Ankit Bende, Vikas Rana, Farhad Merchant, Norbert Wehn:
Error Detection and Correction Codes for Safe In-Memory Computations. ETS 2024: 1-4 - [i3]Luca Parrini, Taha Soliman, Benjamin Hettwer, Jan Micha Borrmann, Simranjeet Singh, Ankit Bende, Vikas Rana, Farhad Merchant, Norbert Wehn:
Error Detection and Correction Codes for Safe In-Memory Computations. CoRR abs/2404.09818 (2024) - 2023
- [c9]Nima Kavand, Armin Darjani, Jens Trommer, Giulio Galderisi, Thomas Mikolajick, Nicolai Müller, Amir Moradi, Chongzhou Fang, Ning Miao, Han Wang, Sai Manoj P. D., Houman Homayoun, Benjamin Hettwer, Luca Parrini, Akash Kumar:
Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches. CODES+ISSS 2023: 8-17 - 2021
- [b1]Benjamin Hettwer:
Deep learning-enhanced side-channel analysis of cryptographic implementations. Ruhr University Bochum, Germany, 2021 - [j2]Benjamin Hettwer, Sebastien Leger, Daniel Fennes, Stefan Gehrer, Tim Güneysu:
Side-Channel Analysis of the Xilinx Zynq UltraScale+ Encryption Engine. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021(1): 279-304 (2021) - [c8]Ali Asghar, Benjamin Hettwer, Emil Karimov, Daniel Ziener:
Increasing Side-Channel Resistance by Netlist Randomization and FPGA-Based Reconfiguration. ARC 2021: 173-187 - [c7]Nadir Khan, Benjamin Hettwer, Jürgen Becker:
Moving Target and Implementation Diversity Based Countermeasures Against Side-Channel Attacks. ARC 2021: 188-202 - 2020
- [j1]Benjamin Hettwer, Stefan Gehrer, Tim Güneysu:
Applications of machine learning techniques in side-channel attacks: a survey. J. Cryptogr. Eng. 10(2): 135-162 (2020) - [c6]Benjamin Hettwer, Daniel Fennes, Sebastien Leger, Jan Richter-Brockmann, Stefan Gehrer, Tim Güneysu:
Deep Learning Multi-Channel Fusion Attack Against Side-Channel Protected Hardware. DAC 2020: 1-6 - [c5]Benjamin Hettwer, Kallyan Das, Sebastien Leger, Stefan Gehrer, Tim Güneysu:
Lightweight Side-Channel Protection using Dynamic Clock Randomization. FPL 2020: 200-207 - [c4]Benjamin Hettwer, Tobias Horn, Stefan Gehrer, Tim Güneysu:
Encoding Power Traces as Images for Efficient Side-Channel Analysis. HOST 2020: 46-56 - [i2]Benjamin Hettwer, Tobias Horn, Stefan Gehrer, Tim Güneysu:
Encoding Power Traces as Images for Efficient Side-Channel Analysis. CoRR abs/2004.11015 (2020)
2010 – 2019
- 2019
- [c3]Benjamin Hettwer, Johannes Petersen, Stefan Gehrer, Heike Neumann, Tim Güneysu:
Securing Cryptographic Circuits by Exploiting Implementation Diversity and Partial Reconfiguration on FPGAs. DATE 2019: 260-263 - [c2]Benjamin Hettwer, Stefan Gehrer, Tim Güneysu:
Deep Neural Network Attribution Methods for Leakage Analysis and Symmetric Key Recovery. SAC 2019: 645-666 - [i1]Benjamin Hettwer, Stefan Gehrer, Tim Güneysu:
Deep Neural Network Attribution Methods for Leakage Analysis and Symmetric Key Recovery. IACR Cryptol. ePrint Arch. 2019: 143 (2019) - 2018
- [c1]Benjamin Hettwer, Stefan Gehrer, Tim Güneysu:
Profiled Power Analysis Attacks Using Convolutional Neural Networks with Domain Knowledge. SAC 2018: 479-498
Coauthor Index
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last updated on 2024-07-05 20:17 CEST by the dblp team
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