output
20132026
most citedTAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems

77 citations

20 papers

cs.CR2026★ 3 cited

Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks

Islam Debicha, Tayeb Kenaza, Ishak Charfi +3

The integration of machine learning (ML) algorithms into Internet of Things (IoT) applications has introduced significant advantages alongside vulnerabilities to adversarial attack…

eess.IV2025★ 27 cited

Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection

Yassine Habchi, Hamza Kheddar, Yassine Himeur +4

The rapid advancement of deep learning (DL) has transformed healthcare, particularly in cancer detection and diagnosis. DL surpasses traditional machine learning and human accuracy…

q-bio.QM2024★ 11 cited

Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis

Fatma Zahra Abdeldjouad, Menaouer Brahami, Mohammed Sabri

Adverse drug reactions considerably impact patient outcomes and healthcare costs in cancer therapy. Using artificial intelligence to predict adverse drug reactions in real time cou…

cs.RO2023★ 19 cited

Robust Task-Space Quadratic Programming for Kinematic-Controlled Robots

Mohamed Djeha, Pierre Gergondet, Abderrahmane Kheddar

Task-space quadratic programming (QP) is an elegant approach for controlling robots subject to constraints. Yet, in the case of kinematic-controlled (i.e., high-gains position or v…

eess.SP2023★ 32 cited

Emergency Response Person Localization and Vital Sign Estimation Using a Semi-Autonomous Robot Mounted SFCW Radar

Christian A. Schroth, Christian Eckrich, Ibrahim Kakouche +4

The large number and scale of natural and man-made disasters have led to an urgent demand for technologies that enhance the safety and efficiency of search and rescue teams. Semi-a…

cs.CR2023★ 67 cited

Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems

Islam Debicha, Benjamin Cochez, Tayeb Kenaza +3

Due to the numerous advantages of machine learning (ML) algorithms, many applications now incorporate them. However, many studies in the field of image classification have shown th…