LeukoX: Leukocyte Classification Using Least Entropy Combiner (LEC) for Ensemble Learning

Article Engineering, Electrical & Electronic

Side-Channel Gray-Box Attack for DNNs

Yun Xiang et al.

Summary: The paper introduces a novel attack method called gray-box attack, which falls between white-box attack and black-box attack. It significantly outperforms existing techniques by utilizing side-channel attacks for model structure prediction.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2021)

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Article Engineering, Electrical & Electronic

Characterization of Two-Phase Flow Structure by Deep Learning-Based Super Resolution

Zhongke Gao et al.

Summary: Two-phase flow is common in the industrial field and researching it is significant for industrial production. A wire-mesh sensor system with 256 measurement points was designed to capture flow information under different conditions. Using deep learning-based super-resolution methods improved imaging quality and characterized flow structures more finely, supporting further optimization of industrial processes.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2021)

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Article Engineering, Electrical & Electronic

A Throughput-Optimized Channel-Oriented Processing Element Array for Convolutional Neural Networks

Yu-Xian Chen et al.

Summary: Significant developments have occurred in the field of deep learning over the past decade, with state-of-the-art convolutional neural networks being increasingly applied in various fields. Due to the high computational complexity of CNNs, many works have proposed CNN accelerators to tackle this issue. The specialized design of a PE array has become one of the main focuses in CNN accelerator research for energy efficiency and high throughput.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2021)

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Article Computer Science, Artificial Intelligence