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Proceedings of the Ninth International Conference on Mathematics and Computing: ICMC 2023

Posted By: AvaxGenius
Proceedings of the Ninth International Conference on Mathematics and Computing: ICMC 2023

Proceedings of the Ninth International Conference on Mathematics and Computing: ICMC 2023 by Debasis Giri, Dieter Gollmann, S. Ponnusamy, Sakurai Kouichi, Predrag S. Stanimirović, J. K. Sahoo
English | PDF EPUB (True) | 2023 | 433 Pages | ISBN : 9819930790 | 68.1 MB

This book features selected papers from the 9th International Conference on Mathematics and Computing (ICMC 2023), organized at BITS Pilani K. K. Birla Goa Campus, India, during 6–8 January 2023. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry in mathematics, statistics, cryptography, network security, cybersecurity, machine learning, data analytics, and blockchain technology in computer science and information technology.

Digital Watermarking for Machine Learning Model: Techniques, Protocols and Applications

Posted By: AvaxGenius
Digital Watermarking for Machine Learning Model: Techniques, Protocols and Applications

Digital Watermarking for Machine Learning Model: Techniques, Protocols and Applications by Lixin Fan, Chee Seng Chan, Qiang Yang
English | EPUB (True) | 2023 | 233 Pages | ISBN : 9811975531 | 24.8 MB

Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event it is stolen, the model’s owner can extract the pre-defined watermarks to assert ownership. Model watermarking methods adopt frequently used techniques like backdoor training, multi-task learning, decision boundary analysis etc. to generate secret conditions that constitute model watermarks or fingerprints only known to model owners. These methods have little or no effect on model performance, which makes them applicable to a wide variety of contexts. In terms of robustness, embedded watermarks must be robustly detectable against varying adversarial attacks that attempt to remove the watermarks. The efficacy of model watermarking methods is showcased in diverse applications including image classification, image generation, image captions, natural language processing and reinforcement learning.

Innovations in Digital Watermarking Techniques

Posted By: AvaxGenius
Innovations in Digital Watermarking Techniques

Innovations in Digital Watermarking Techniques by Feng-Hsing Wang , Jeng-Shyang Pan , Lakhmi C. Jain
English | PDF(True) | 2009 | 192 Pages | ISBN : 3642031862 | 5.2 MB

Information security and copyright protection are more important today than before. Digital watermarking is one of the widely used techniques used in the world in the area of information security.

Reversible Digital Watermarking: Theory and Practices

Posted By: roxul
Reversible Digital Watermarking: Theory and Practices

Ruchira Naskar, "Reversible Digital Watermarking: Theory and Practices "
English | ISBN: 1627053158 | 2014 | 130 pages | PDF | 8 MB