Maxime Pelcat | DeepAI

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Virtual Triggering: a Technique to Segment Cryptographic Processes in Side Channel Traces

Side-Channel Attacks (SCAs) exploit data correla-tion in signals leaked ...

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∙ 03/01/2021

Run-time Performance Monitoring of Heterogenous Hw/Sw Platforms Using PAPI

In the era of Cyber Physical Systems, designers need to offer support fo...

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∙ 02/02/2021

Why is FPGA-GPU Heterogeneity the Best Option for Embedded Deep Neural Networks?

Graphics Processing Units (GPUs) are currently the dominating programmab...

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Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs

Tangled Program Graph (TPG) is a reinforcement learning technique based ...

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∙ 05/06/2020

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

This paper reviews the Challenge on Image Demoireing that was part of th...

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NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis

Fully supervised deep-learning based denoisers are currently the most pe...

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OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers

Image denoising has recently taken a leap forward due to machine learnin...

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Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification

This paper proposes an upgraded electro-magnetic side-channel attack tha...

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The Challenge of Multi-Operand Adders in CNNs on FPGAs: How not to solve it!

Convolutional Neural Networks (CNNs) are computationally intensive algor...

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∙ 05/26/2018

Accelerating CNN inference on FPGAs: A Survey

Convolutional Neural Networks (CNNs) are currently adopted to solve an e...

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∙ 11/20/2017

Tactics to Directly Map CNN graphs on Embedded FPGAs

Deep Convolutional Neural Networks (CNNs) are the state-of-the-art in im...

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∙ 05/04/2017

Hardware Automated Dataflow Deployment of CNNs

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A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGA

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