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Maxime Pelcat

6 accepted papers

2020

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

ICASSP 2020accepted

This paper proposes an upgraded Electro Magnetic (EM) sidechannel attack that automatically reconstructs the intercepted data. A novel system is introduced, running in parallel with leakage signal interception and catching compromising data on the fly. Leveraging on deep learning and Character Recog…

Cited by 0SourceScholar
2020

Opendenoising: An Extensible Benchmark for Building Comparative Studies of Image Denoisers

ICASSP 2020accepted

Image denoising has recently taken a leap forward due to machine learning. However, image denoisers, both expert-based and learning-based, are mostly tested on well-behaved generated noises (usually Gaussian) rather than on real-life noises, making performance comparisons difficult in real-world con…

Cited by 0SourceScholar
2019

Convex Energy Optimization of Streaming Applications for MPSoCs

ICASSP 2019accepted

The energy efficiency of modern MPSoCs is enhanced by complex hardware features such as Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Management (DPM). This paper introduces a new method, based on convex problem solving, that determines the most energy efficient operating point in t…

Cited by 0SourceScholar
2017

Constrain the Docile CTUs: An In-Frame complexity allocator for HEVC Intra encoders

ICASSP 2017accepted

High Efficiency Video Coding (HEVC) is one of the latest released video standards and offers up to 40% bitrate savings when compared to the widespread H.264/AVC standard, at the cost of a substantial complexity growth. Constraining the complexity of HEVC encoding is a challenging task for embedded a…

Cited by 0SourceScholar
2017

Energy reduction opportunities in an HEVC real-time encoder

ICASSP 2017accepted

High Efficiency Video Coding (HEVC) is one of the latest released video standards and offers up to 40% bitrate savings when compared to the widespread H.264/AVC standard, at the cost of a substantial complexity growth. Constraining the complexity of HEVC encoding is a challenging task for embedded a…

Cited by 0SourceScholar
2015

Buffer merging technique for minimizing memory footprints of Synchronous Dataflow specifications

ICASSP 2015accepted

This paper introduces and assesses a new technique to minimize the memory footprints of Digital Signal Processing (DSP) applications specified with Synchronous Dataflow (SDF) graphs and implemented on shared-memory Multiprocessor Systems-on-Chips (MPSoCs). In addition to the SDF specification, which…

Cited by 0SourceScholar