4 papers
VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models
Hanene F. Z. Brachemi Meftah, Wassim Hamidouche, Sid Ahmed Fezza +1
Recent years have witnessed remarkable progress in developing Vision-Language Models (VLMs) capable of processing both textual and visual inputs. These models have demonstrated imp…
Convex Hull Prediction Methods for Bitrate Ladder Construction: Design, Evaluation, and Comparison
Ahmed Telili, Wassim Hamidouche, Hadi Amirpour +3
HTTP adaptive streaming (HAS) has emerged as a prevalent approach for over-the-top (OTT) video streaming services due to its ability to deliver a seamless user experience. A fundam…
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…
Energy Backdoor Attack to Deep Neural Networks
Hanene F. Z. Brachemi Meftah, Wassim Hamidouche, Sid Ahmed Fezza +2
The rise of deep learning (DL) has increased computing complexity and energy use, prompting the adoption of application specific integrated circuits (ASICs) for energy-efficient ed…