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Threshold Implementations in Industry

Proceedings of the 2016 ACM Workshop on Theory of Implementation Security, 2016
Implementing efficient countermeasures against side-channel attacks is a challenge since two decades. Especially in hardware, many masking countermeasure implementations failed due to first-order leakages caused by glitches or other effects such as early evaluation and unbalanced routing.
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Dividing the threshold: Multi-probe localized EM analysis on threshold implementations

2018 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2018
Cryptographic implementations typically need to be secured to retain their secrets in the presence of attacks. As a countermeasure to prevent side-channel attacks, threshold implementations are a commonly encountered concept. They resemble a multi-party computation, where the value is split in independent shares and processed separately.
Robert Specht   +4 more
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Efficient hardware implementation of threshold neural networks

10th IEEE International NEWCAS Conference, 2012
Area and Noise to Signal Ratio (NSR) are two main factors in hardware implementation of neural networks. Despite attempts to reduce the area of sigmoid and hyperbolic tangent activation functions, they cannot achieve the efficiency of threshold activation function. A new NSR efficient architecture for threshold networks is proposed in this paper.
Babak Zamanlooy, Mitra Mirhassani
openaire   +1 more source

Adaptive thresholding algorithm and its hardware implementation

Pattern Recognition Letters, 1994
Summary: The paper presents an adaptive raster-scan thresholding algorithm which can deal with an image acquired under imperfect illumination. A statistical measurement called LSSD (Largest Static State Difference) relating to the gray-level variation is found first.
Jeng-Daw Yang   +2 more
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Discussions on Implementing Iterative Hard Thresholding Algorithm

2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2014
Compressive sensing is a potential technology for lossy image compression. With a given quality, we may represent an image with a few significant coefficients in the transform domain. When the number of the significant coefficients is much less than the number of the pixels, the assumption of sparse representation is satisfied.
Feng-Cheng Chang, Hsiang-Cheh Huang
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A JCA-based implementation framework for threshold cryptography

Seventeenth Annual Computer Security Applications Conference, 2005
The Java Cryptography Architecture, JCA in short, was created to allow JCA-compliant cryptography providers to be plugged into a JCA-aware application at run time. This configurable feature makes JCA widely used and assures its success. However, the public key cryptographic service interfaces defined by JCA are based on the conventional public key ...
Yih Huang, David Rine, Xunhua Wang
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Design and implementation of a sub-threshold BFSK transmitter

2009 10th International Symposium on Quality of Electronic Design, 2009
Power Consumption in VLSI circuits is currently a major issue in the semiconductor industry. Power is a first order design constraint in many applications. However, a growing class of applications need extreme low power but do not need high speed. Sub-threshold circuit design can be used for these applications.
Suganth Paul   +3 more
openaire   +1 more source

FPGA implementation of histogram-based thresholding

2022 11th Mediterranean Conference on Embedded Computing (MECO), 2022
Miroslav Hagara   +3 more
openaire   +2 more sources

Unbalanced sharing: a threshold implementation of SM4

Science China Information Sciences, 2021
Man Wei   +3 more
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Threshold implementation of ternary systems

IEEE Transactions on Electronic Computers, 1966
Héctor Arango   +3 more
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