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Abstract. We introduce a deep learning ensemble (NNBits) as a tool for bit-profiling and evaluation of cryptographic (pseudo) random bit sequences.
Missing: Bits: Extinguisher.
NNBits: Bit Profiling with a Deep Learning Ensemble Based Distinguisher ... deeper look at machine learning-based cryptanalysis. In: Canteaut, A ...
Missing: Bits: Extinguisher.
This research proposes a hybrid approach that examines permissions, text, and network-based features both statically and dynamically by monitoring memory usage, ...
Jun 20, 2018 · Inspired by this investigation, we propose the Binary Ensemble Neural Network (BENN) which leverages ensemble methods to improve the performance ...
Missing: Profiling Extinguisher.
Duration: 1:20:41
Posted: Apr 17, 2020
Posted: Apr 17, 2020
Missing: Bits: Bit Profiling Extinguisher.
This study utilizes deep learning models, including convolutional neural networks (CNNs), long short-term memory (LSTM), and gated recurrent units (GRUs), while ...
Missing: Bits: Extinguisher.
We propose a differentiable and parallelizable bit sharing scheme that allows the members to share the less significant bits of parameters, without hurting the ...
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Apr 6, 2021 · This paper reviews the state-of-art deep ensemble models and hence serves as an extensive summary for the researchers. The ensemble models are ...
Missing: Bits: Bit Profiling Extinguisher.
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