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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Mohammad Amin Arab
About me
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Posts
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Blog Post number 4
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Blog Post number 1
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portfolio
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publications
Band and Quality Selection for Efficient Transmission of Hyperspectral Images
Published in ACM Multimedia, 2019
This paper presents a method to prioritize the transmission of various components of hyperspectral data based on the application needs, the level of details required, and available bandwidth.
Recommended citation: M. Arab, et al. 2019. Band and Quality Selection for Efficient Transmission of Hyperspectral Images. In Proceedings of the 27th ACM International Conference on Multimedia. https://dl.acm.org/doi/10.1145/3343031.3351047
Revealing True Identity: Detecting Makeup Attacks in Face-based Biometric Systems
Published in ACM Multimedia, 2020
This paper proposes a novel solution to address makeup attacks, which are the hardest to detect in such systems because makeup can substantially alter the facial features of a person, including making them appear older/younger by adding/hiding wrinkles, modifying the shape of eyebrows, beard, and moustache, and changing the color of lips and cheeks.
Recommended citation: M. Arab, et al. 2020. Revealing True Identity: Detecting Makeup Attacks in Face-based Biometric Systems. In Proceedings of the 28th ACM International Conference on Multimedia. https://dl.acm.org/doi/10.1145/3394171.3413606
FlexMark: Adaptive Watermarking Method for Images
Published in ACM Multimedia Systems, 2024
We proposed a flexible watermarking method that can be used in different scenarios from copyright protection to data hiding.
Recommended citation: M. Arab, et al. 2024. FlexMark: Adaptive Watermarking Method for Images. In Proceedings of the 15th ACM Multimedia Systems Conference.
RDIAS: Robust and decentralized image authentication system
Published in ACM Transactions on Multimedia Computing, Communications and Applications, 2025
This paper presents RDIAS, a robust and decentralized image authentication system designed to withstand sophisticated AI-powered manipulations while tolerating common platform transformations such as resizing and transcoding. RDIAS embeds secure, semantic fingerprints directly into images using perceptual hashing, deep-learning-based watermarking, and error-correcting codes. Extensive evaluations with realistic AI attacks demonstrate up to 99% accuracy in detecting manipulated images while preserving visual quality and enabling real-time verification.
Recommended citation: Ghorbanpour, Ali, Mohammad Amin Arab, and Mohamed Hefeeda. "RDIAS: Robust and decentralized image authentication system." ACM Transactions on Multimedia Computing, Communications and Applications 21.10 (2025): 1-28.
ImageShield: A System for Image Tampering Detection, Localization, and Recovery
Published in , 1900
This paper introduces ImageShield, an end-to-end system for image authentication, tampering localization, and semantic content recovery that is robust against advanced AI-enabled attacks. ImageShield employs a novel dual-embedding strategy that separately embeds cryptographically protected authentication data and high-capacity recovery information using specialized neural networks. Extensive experiments and a human user study demonstrate that ImageShield significantly outperforms prior state-of-the-art methods in robustness, localization accuracy, and restored image quality under realistic attacks and transformations.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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