2025Open access
A Hybrid Ensemble Approach for Robust Detection of Adversarial Attacks on Medical X-ray ImagesResearch Square, Anomaly Detection Techniques and Applications
Active, last published 2026
In adversarial robustness in machine learning
Yassine
Chahid
“Research focused on Adversarial Robustness in Machine Learning and adjacent fields.”
Mohamed I UniversityMorocco
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Claim Your Profile01 · About the work
What I study
assine Chahid is a researcher working on Adversarial Robustness in Machine Learning. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Yassine's work has been cited 68 times across 1 active year. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
05 · Research focus
Topics
Adversarial Robustness in Machine Learning×4IoT and Edge/Fog Computing×3Blockchain Technology Applications and Security×2Caching and Content Delivery×2Anomaly Detection Techniques and Applications×2
06 · Where I am
Affiliations
CurrentlyMohamed I University, Morocco
07 · Selected work
Recent publications
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