181 citations · 286 across the 67 of their papers we have counts for
3 papers · 1 filter
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning
Hanene F. Z. Brachemi Meftah, Wassim Hamidouche, Sid Ahmed Fezza +1
The growing computational demand for deep neural networks ( DNNs) has raised concerns about their energy consumption and carbon footprint, particularly as the size and complexity o…
Selective Encryption of the Versatile Video Coding Standard
Guillaume Gautier, Mousa FarajAllah, Wassim Hamidouche +2
Versatile video coding (VVC) is the next generation video coding standard developed by the joint video experts team (JVET) and released in July 2020. VVC introduces several new cod…
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection
Ahmed Aldahdooh, Wassim Hamidouche, Olivier Déforges
Security-sensitive applications that rely on Deep Neural Networks (DNNs) are vulnerable to small perturbations that are crafted to generate Adversarial Examples(AEs). The AEs are i…