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Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
Accelerating the Search of Differential and Linear Characteristics with the SAT Method
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
A Compact Hardware Implementation of CCA-Secure Key Exchange Mechanism CRYSTALS-KYBER on FPGA
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
A Side-Channel Attack on a Masked IND-CCA Secure Saber KEM Implementation
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
NTT Multiplication for NTT-unfriendly Rings
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
Combining Optimization Objectives: New Modeling Attacks on Strong PUFs
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
Masking Kyber: First- and Higher-Order Implementations
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
Masked Accelerators and Instruction Set Extensions for Post-Quantum Cryptography
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
Let’s Take it Offline: Boosting Brute-Force Attacks on iPhone’s User Authentication through SCA
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
CRAFT: Lightweight Tweakable Block Cipher with Efficient Protection Against DFA Attacks
Free accessDataCite | 2019|Publisher: Ruhr-Universität Bochum -
Improved Rectangle Attacks on SKINNY and CRAFT
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
Compact Dilithium Implementations on Cortex-M3 and Cortex-M4
Free accessDOAJ | 2020|Publisher: Ruhr-Universität Bochum -
CRAFT: Lightweight Tweakable Block Cipher with Efficient Protection Against DFA Attacks
Free accessDOAJ | 2019|Publisher: Ruhr-Universität Bochum -
The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations
Free accessDOAJ | 2018|Publisher: Ruhr-Universität Bochum -
Masking in Fine-Grained Leakage Models: Construction, Implementation and Verification
Free accessDOAJ | 2021|Publisher: Ruhr-Universität Bochum -
Methodology for Efficient CNN Architectures in Profiling Attacks
Free accessDOAJ | 2019|Publisher: Ruhr-Universität Bochum -
Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis
Free accessDOAJ | 2020|Publisher: Ruhr-Universität Bochum -
Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis
Free accessDOAJ | 2019|Publisher: Ruhr-Universität Bochum -
The design of scalar AES Instruction Set Extensions for RISC-V
Free accessDOAJ | 2020|Publisher: Ruhr-Universität Bochum -
Increasing Precision of Division Property
Free accessDOAJ | 2020|Publisher: Ruhr-Universität Bochum
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