68 citations · 102 across the 10 of their papers we have counts for
10 papers
A Survey of Machine Unlearning
Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren +4
Today, computer systems hold large amounts of personal data. Yet while such an abundance of data allows breakthroughs in artificial intelligence, and especially machine learning (M…
A hybrid privacy protection scheme for medical data
Judy X Yang, Hui Tian, Alan Wee-Chung Liew +1
Healthcare data contains sensitive information, and it is challenging to persuade healthcare data owners to share their information for research purposes without any privacy assura…
Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew
With the broad application of deep neural networks, the necessity of protecting them as intellectual properties has become evident. Numerous watermarking schemes have been proposed…
Towards Practical Watermark for Deep Neural Networks in Federated Learning
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew
With the wide application of deep neural networks, it is important to verify a host's possession over a deep neural network model and protect the model. To meet this goal, various…
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation
Truong Dang, Thanh Nguyen, John McCall +1
Colorectal cancer (CRC) is the first cause of death in many countries. CRC originates from a small clump of cells on the lining of the colon called polyps, which over time might gr…
Streaming Active Deep Forest for Evolving Data Stream Classification
Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew
In recent years, Deep Neural Networks (DNNs) have gained progressive momentum in many areas of machine learning. The layer-by-layer process of DNNs has inspired the development of…
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew +3
Image segmentation is considered to be one of the critical tasks in hyperspectral remote sensing image processing. Recently, convolutional neural network (CNN) has established itse…
An ensemble-based online learning algorithm for streaming data
Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham +2
In this study, we introduce an ensemble-based approach for online machine learning. The ensemble of base classifiers in our approach is obtained by learning Naive Bayes classifiers…
Aggregation of Classifiers: A Justifiable Information Granularity Approach
Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew +1
In this study, we introduce a new approach to combine multi-classifiers in an ensemble system. Instead of using numeric membership values encountered in fixed combining rules, we c…
Image aesthetic evaluation using paralleled deep convolution neural network
Guo Lihua, Li Fudi
Image aesthetic evaluation has attracted much attention in recent years. Image aesthetic evaluation methods heavily depend on the effective aesthetic feature. Traditional meth-ods…