103 citations · 247 across the 13 of their papers we have counts for
14 papers
Virtual Triggering: a Technique to Segment Cryptographic Processes in Side Channel Traces
Jeremy Guillaume, Maxime Pelcat, Amor Nafkha +1
Side-Channel Attacks (SCAs) exploit data correla-tion in signals leaked from devices to jeopardize confidentiality. Locating and synchronizing segments of interest in traces from C…
Run-time Performance Monitoring of Heterogenous Hw/Sw Platforms Using PAPI
Tiziana Fanni, Daniel Madronal, Claudio Rubattu +6
In the era of Cyber Physical Systems, designers need to offer support for run-time adaptivity considering different constraints, including the internal status of the system. This w…
Why is FPGA-GPU Heterogeneity the Best Option for Embedded Deep Neural Networks?
Walther Carballo-Hernández, Maxime Pelcat, François Berry
Graphics Processing Units (GPUs) are currently the dominating programmable architecture for Deep Learning (DL) accelerators. The adoption of Field Programmable Gate Arrays (FPGAs)…
Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs
Karol Desnos, Nicolas Sourbier, Pierre-Yves Raumer +2
Tangled Program Graph (TPG) is a reinforcement learning technique based on genetic programming concepts. On state-of-the-art learning environments, TPGs have been shown to offer co…
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan, Radu Timofte, Ales Leonardis +43
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demo…
NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis
Florian Lemarchand, Erwan Nogues, Maxime Pelcat
Fully supervised deep-learning based denoisers are currently the most performing image denoising solutions. However, they require clean reference images. When the target noise is c…