Digital Watermarking for Machine Learning Model
Techniques, Protocols and Applications
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Article
Open AccessFederated Learning with Privacy-preserving and Model IP-right-protection
In the past decades, artificial intelligence (AI) has achieved unprecedented success, where statistical models become the central entity in AI. However, the centralized training and inference paradigm for buil...
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Chapter
Introduction
Rapid developments of machine learning technologies such as deep learning and federated learning have nowadays affected everyone of us. On one hand, a large variety of machine learning models are used in all kind...
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Book
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Chapter
Protecting Recurrent Neural Network by Embedding Keys
Recent advancement in artificial intelligence (AI) has resulted in the emergence of Machine Learning as a Service (MLaaS) as a lucrative business model which utilizes deep neural networks (DNNs) to generate re...
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Article
Coherent group detection in still image
Collective behaviors of coherent groups convey semantic relations among individuals in a crowd scene. Detecting coherent groups is primitive for crowd behavior analysis and practically useful in crowd surveill...
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Chapter and Conference Paper
Clinically Guided Trainable Soft Attention for Early Detection of Oral Cancer
Oral cancer disproportionately affects low- and middle-income countries, where a lack of access to appropriate medical care contributes towards late disease presentation. Using artificial intelligence to facil...
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Chapter and Conference Paper
ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment
With hundreds of thousands of electronic chip components are being manufactured every day, chip manufacturers have seen an increasing demand in seeking a more efficient and effective way of inspecting the qual...
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Chapter and Conference Paper
D’OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer
Oral cancer is a major health issue among low- and middle-income countries due to the late diagnosis. Automated algorithms and tools have the potential to identify oral lesions for early detection of oral canc...
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Article
Special issue on “Green and Human Information Technology 2019”
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Article
Total-Text: toward orientation robustness in scene text detection
At present, text orientation is not diverse enough in the existing scene text datasets. Specifically, curve-orientated text is largely out-numbered by horizontal and multi-oriented text, hence, it has received...
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Book and Conference Proceedings
Intelligent Robotics and Applications
13th International Conference, ICIRA 2020, Kuala Lumpur, Malaysia, November 5–7, 2020, Proceedings
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Chapter and Conference Paper
Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer
Oral cancer is most prevalent in low- and middle-income countries where it is associated with late diagnosis. A significant factor for this is the limited access to specialist diagnosis. The use of artificial ...
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Chapter
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
This chapter investigates capabilities of Privacy-Preserving Deep Learning (PPDL) mechanisms against various forms of privacy attacks. First, we propose to quantitatively measure the trade-off between model ac...
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Article
Granular-based dense crowd density estimation
Dense crowd density estimation is one of the fundamental tasks in crowd analysis. While tremendous progress has been made to understand crowd scenes along with the rise of Convolutional Neural Networks (CNNs),...
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Chapter and Conference Paper
Plant Classification Based on Gated Recurrent Unit
Classification of plants based on a multi-organ approach is very challenging due to the variability in shape and appearance in plant organs. Despite promising solutions built using convolutional neural network...
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Book
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Chapter and Conference Paper
Feature Extraction for the Identification of Two-Class Mechanical Stability Test of Natural Rubber Latex
Rubber latex concentrate is a popular raw material widely used for making many common household and industrial products. As its quality is not consistent due to either, the source, weather, storage time, etc. ...
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Chapter
A Novel Approach to Extract Hand Gesture Feature in Depth Images
This chapter proposes a novel approach to extract human hand gesture features in real-time from RGB-D images based on the earth mover’s distance and Lasso algorithms. Firstly, hand gestures with hand edge cont...
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Chapter
Recognizing Constrained 3D Human Motion: An Inference Approach
Enormous uncertainties in unconstrained human motions lead to a fundamental challenge that many recognising algorithms have to face in practice: motion recognition has to be efficiently correct, but verifying ...
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Chapter
A View-Invariant Action Recognition Based on Multi-view Space Hidden Markov Models
Visual-based action recognition has already been widely used in human-machine interfaces. However it is a challenging research to recognise the human actions from different viewpoints. In order to solve this i...
