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Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Watermarking cryptographic capabilities [PDF]
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing, 2016 Summary: A watermarking scheme for programs embeds some information called a mark into a program while preserving its functionality. No adversary can remove the mark without damaging the functionality of the program. In this work, we study the problem of watermarking various cryptographic programs such as pseudorandom function (PRF) evaluation ...
Aloni Cohen +4 more
openaire +4 more sources
Histogram preserving QIM-based watermarking [PDF]
, 2012 Quantisation-based watermarking schemes are known to be strongly robust to noise and widely applied for image authentication. However, such schemes tend to create specific patterns in the histogram of the watermarked image, thus opening security gap for ...
Li, Yue, Li, Chang-Tsun
core
Capacity-optimized mp2 audio watermarking
, 2022 S.44-54Today a number of audio watermarking algorithms have been proposed, some of them at a quality making them suitable for commercial applications. The focus of most of these algorithms is copyright protection.
Steinebach, M., Dittmann, J.
core +1 more source
Fingerprint-based robust medical image watermarking in hybrid transform
The Visual Computer, 2022 To protect the medical images integrity, digital watermark is embedded into the medical images. A non-blind medical image watermarking scheme based on hybrid transform is propounded.
S. Vaidya
semanticscholar +1 more source
Model Watermarking for Image Processing Networks [PDF]
AAAI Conference on Artificial Intelligence, 2020 Deep learning has achieved tremendous success in numerous industrial applications. As training a good model often needs massive high-quality data and computation resources, the learned models often have significant business values.
Jie Zhang +7 more
semanticscholar +1 more source
Research on Watermarking Attack of Deep Neural Network Models [PDF]
Jisuanji gongchengModel intellectual property protection is an issue that cannot be ignored in model security. Watermarking technology, as the core means of model traceability, provides technical support for copyright verification by embedding special identifiers into ...
WANG Wen, YANG Kuiwu, TONG Songsong, WEI Jianghong, XUE Yan, ZHOU Rongkui
doaj +1 more source
Advanced Intelligent Systems, EarlyView.A zero‐watermarking algorithm that combines a refined convolutional additive self‐attention vision transformer (CAS‐ViT) with a discrete wavelet transform variance‐based feature descriptor (DVFD) is proposed for protecting the privacy of medical images in mobile healthcare services.
Pei Liu +6 more
wiley +1 more source
Countermeasure for collusion attacks against digital watermarking
, 2022 Art. 60720DCustomer identification watermarking today is one of the most promising application domains of digital watermarking. It enables to identify individual copies of otherwise indistinguishable digital copies. If done without any precautions, those
Steinebach, M., Zmudzinski, S.
core +1 more source
JND-Guided Perceptually Color Image Watermarking in Spatial Domain
IEEE Access, 2020 Watermarking is an effective solution for copyright protection and forensics tracking via hiding information into the image signal. Recently, spatial-embedding watermarking methods from different transform domain have been proposed rapidly and ...
Wenbo Wan +4 more
doaj +1 more source