2 papers
cs.CR2025
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…
eess.IV2022
2BiVQA: Double Bi-LSTM based Video Quality Assessment of UGC Videos
Ahmed Telili, Sid Ahmed Fezza, Wassim Hamidouche +1
Recently, with the growing popularity of mobile devices as well as video sharing platforms (e.g., YouTube, Facebook, TikTok, and Twitch), User-Generated Content (UGC) videos have b…