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arXiv 2025年

作者： Yu, Yi Xia, Song Lin, Xun Kong, Chenqi Yang, Wenhan Lu, Shijian Tan, Yap-Peng Kot, Alex C. Lab Interdisciplinary Graduate Programme Nanyang Technological University Singapore PengCheng Laboratory Shenzhen China School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Computer Science and Engineering Beihang University Beijing China College of Computing and Data Science Nanyang Technological University Singapore

Adversarial examples, characterized by imperceptible perturbations, pose significant threats to deep neural networks by misleading their predictions. A critical aspect of these examples is their transferability, allowing them to deceive unseen models in black-box scenarios. Despite the widespread exploration of defense methods, including those on transferability, they show limitations: inefficient deployment, ineffective defense, and degraded performance on clean images. In this work, we introduce a novel training paradigm aimed at enhancing robustness against transferable adversarial examples (TAEs) in a more efficient and effective way. We propose a model that exhibits random guessing behavior when presented with clean data x as input, and generates accurate predictions when with triggered data x + τ. Importantly, the trigger τ remains constant for all data instances. We refer to these models as models with trigger activation. We are surprised to find that these models exhibit certain robustness against TAEs. Through the consideration of first-order gradients, we provide a theoretical analysis of this robustness. Moreover, through the joint optimization of the learnable trigger and the model, we achieve improved robustness to transferable attacks. Extensive experiments conducted across diverse datasets, evaluating a variety of attacking methods, underscore the effectiveness and superiority of our approach. Copyright © 2025, The Authors. All rights reserved.

关键词： Deep neural networks

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Mobile support for diagnosis of communicable diseases in remote locations 12

Mobile support for diagnosis of communicable diseases in rem...

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13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-computer Interaction, CHINZ 2012

作者： Cesario, Manuel Lundon, Michael Luz, Saturnino Masoodian, Masood Rogers, Bill Graduate Programme on Health Promotion University of Franca Brazil Department of Computer Science University of Waikato New Zealand School of Computer Science and Statistics Trinity College Dublin Ireland

ISBN: (纸本)9781450314749

Surveillance and diagnosis of new and emerging communicable diseases in remote regions, such as the Amazon, is a challenging task. These regions can be difficult to reach, are sparsely populated, and have limited medical and ICT infrastructure. Medical practitioners and community health agents who work in such regions often have very basic qualifications, and therefore have limited knowledge of new and emerging diseases. The increasing capabilities of mobile devices, such as tablets and smart phones, have made them a useful platform for delivery of medical services in remote locations. In this paper we introduce a system that could potentially support diagnosis of vector-borne diseases such as Bartonellosis and Leishmaniasis in areas where specialist healthcare is scarce. In particular, we focus on the image analysis and classification component of this system, which aims to reduce the chance of misdiagnosing these less common diseases as malaria. Copyright 2012 ACM.

关键词： mHealth

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Time-based geographical mapping of communicable diseases

Time-based geographical mapping of communicable diseases

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2012 16th International Conference on Information Visualisation, IV 2012

作者： Cesario, Manuel Jervis, Matthew Luz, Saturnino Masoodian, Masood Rogers, Bill Graduate Programme on Health Promotion University of Franca Brazil Department of Computer Science University of Waikato New Zealand School of Computer Science and Statistics Trinity College Dublin Ireland

ISBN: (纸本)9780769547718

Information visualisation methods can potentially be employed to assist the work of epidemiologists and other health care professionals in mapping the spread of communicable diseases in remote areas, where the task of disease surveillance encompasses temporal elements such as changes in climate, land use and population movements. This paper presents an investigation into the use of time-based visualisation techniques coupled with geographical maps and support for distributed mobile collection of patient data. This study has focused on the development of an information visualisation prototype designed for use by epidemiology researchers on mobile platforms (tablets and smart phones). The prototyping activity has involved the participation of prospective users working in the Amazon region. Initial results are presented and discussed. © 2012 IEEE.

关键词： Mapping

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Energy efficiency trends in HPC: what high-energy and astrophysicists need to know

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Frontiers in Physics 2025年 13卷

作者： Suarez, Estela Amaya, Jorge Frank, Martin Freyermuth, Oliver Girone, Maria Kostrzewa, Bartosz Pfalzner, Susanne Jülich Supercomputing Centre Forschungszentrum Juelich GmbH Jülich Germany SiPEARL Maisons-Laffitte France Institute of Computer Science Rheinische Friedrich-Wilhelms-Universität Bonn Bonn Germany European Space Agency Space Weather Office Space Safety Programme ESA/ESOC Darmstadt Germany Karlsruhe Germany Physikalisches Institut Rheinische Friedrich-Wilhelms-Universität Bonn Bonn Germany CERN Openlab CERN Geneva Switzerland Rheinische Friedrich-Wilhelms-Universität Bonn Bonn Germany

The growing energy demands of High Performance Computing (HPC) systems have made energy efficiency a critical concern for system developers and operators. However, HPC users are generally less aware of how these energy concerns influence the design, deployment, and operation of supercomputers even though they experience the consequences. This paper examines the implications of HPC’s energy consumption, providing an overview of current trends aimed at improving energy efficiency. We describe how hardware innovations such as energy-efficient processors, novel system architectures, power management techniques, and advanced scheduling policies do have a direct impact on how applications need to be programmed and executed on HPC systems. For application developers, understanding how these new systems work and how to analyse and report the performances of their own software is critical in the dialog with HPC system designers and administrators. The paper aims to raise awareness about energy efficiency among users, particularly in the high energy physics and astrophysics domains, offering practical advice on how to analyse and optimise applications to reduce their energy consumption without compromising on performance. Copyright © 2025 Suarez, Amaya, Frank, Freyermuth, Girone, Kostrzewa and Pfalzner.

关键词： Energy utilization

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LenAtten: An Effective Length Controlling Unit For Text Summarization

LenAtten: An Effective Length Controlling Unit For Text Summ...

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Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

作者： Yu, Zhongyi Wu, Zhenghao Zheng, Hao Zhe, XuanYuan Fong, Jefferson Su, Weifeng Computer Science and Technology Programme United States Data Science Programme Division of Science and Technology United States Guangdong Key Lab of AI and Multi-Modal Data Processing BNU-HKBU United International College Zhuhai China

ISBN: (纸本)9781954085541

Fixed length summarization aims at generating summaries with a preset number of words or characters. Most recent researches incorporate length information with word embeddings as the input to the recurrent decoding unit, causing a compromise between length controllability and summary quality. In this work, we present an effective length controlling unit Length Attention (LenAtten) to break this trade-off. Experimental results show that LenAtten not only brings improvements in length controllability and ROGUE scores but also has great generalization ability. In the task of generating a summary with the target length, our model is 732 times better than the best-performing length controllable summarizer in length controllability on the CNN/Daily Mail dataset. © 2021 Association for Computational Linguistics

关键词： Controllability

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COVID-19 Vaccination Data Visualization: Issues and Challenges 1

COVID-19 Vaccination Data Visualization: Issues and Challeng...

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1st International Visualization, Informatics and Technology Conference, IVIT 2022

作者： Ismail, Izzatul Syahirah Hajar Aishah Samsudin, Siti Sani Mohd Sofian, Muhammad Adam Jantan, Hamidah Cawangan Terengganu Computer Science Programme Faculty of Computer and Mathematical Sciences Kuala Terengganu21080 Malaysia Universiti Teknologi MARA Cawangan Terengganu Faculty of Computer and Mathematical Sciences Department of Computer Science Kuala Terengganu21080 Malaysia

ISBN: (纸本)9781665486484

Data Visualization plays an important role for patterns and trends analysis in trillion of data rows Big Data analysis, where the data can be represented in some graphical forms. Hence, the data could be more comprehensible in its visual summary in dashboards and storyboards. This study aims to discuss some issues and challenges in visualizing COVID-19 vaccination datasets. There are some possible issues in data visualization, as it is not easy and may be challenging to produce a good dashboard that are interesting and easy for viewers to understand. Therefore, this study focuses on some issues that may arise during performing a data visualization on the COVID-19 dataset. In this study, there are three dashboards have been studied, which are the COVID-19 tracker, its effectiveness, and its acceptance. The first two dataset are derived from Ministry of Health Malaysia bank data, whereas the third dataset is from a survey to support this analysis. The selected attributes are states, the number of people who have received the vaccine as adults, children, and teenagers, and the number of people who already received boosters, and reasons to not get a booster. The visualization issues found within the dashboard are mis-choice of colors, mis-choice of visual object type, lack of interactivity, and plotting too much data. As a result, this proposed alternative solutions for those issues such as color deliberately, pick a suitable visual object, create an interactive dashboard, and reduce the information overload in visualizing the data. © 2022 IEEE.

关键词： COVID-19

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An extended professional development programme for specialist computing teachers in Hong Kong

An extended professional development programme for specialis...

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996 International Conference Software Engineering: Education and Practice, SEEP 1996

作者： Stranks, M.B. Woodward, M.C. MMSE Programme Manager Dept. of Computer Science City University of Hong Kong Hong Kong MMSE Programme Manager School of Computing Staffordshire University United Kingdom

ISBN: (纸本)0818673796

This paper describes how two nominally independent programmes, which are offered by independent institutions in different countries, have been combined to form one effective co-ordinated scheme of study that provides school teachers with a part time developmental programme leading to the award of ***. Degree. The first »conversion» programme is designed for graduates with little or no knowledge of computing. Here each student develops their underpinning knowledge and practical skills within computing. The second »advanced» programme is chosen to provide teachers with an opportunity for professional development at an advanced level within the area of computing and to mix with other graduate-level people with industrial experience in computing. The paper first explores the background to the development, identifying needs within Hong Kong which make the development appropriate. The nature and strengths of each of the contributing programmes are then presented. This is followed by a discussion of the rational for providing a coherent route through the two individual programmes. The remainder of the paper concentrates on the ***. Provision, identifying issues in the integration of student groups and the management of dissertations across the sets of students from two different backgrounds. The paper concludes with a summary of the lessons learnt from the development and early operation of the scheme. © 1996 IEEE.

关键词： Students

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Mobile Application for flood disaster in Jakarta

Mobile Application for flood disaster in Jakarta

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2021 International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021

作者： Anta, Vito Lauda Putra Liestyo, Ivander Albert Warnars, Harco Leslie Hendric Spits Bina Nusantara University School of Information Systems Information Systems Department Jakarta11480 Indonesia Binus Graduate Programme Doctor of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728195377

Jakarta as the Indonesian capital city has extreme average rainfall in 2020, based on data from the DKI Jakarta Representative Central Bureau of Statistics and the meteorology, climatology, and geophysics agency. From year to year, the city of Jakarta has not been spared from floods which have seriously disrupted the activities of the people of Jakarta. Flood disasters greatly disrupt people's economic activities and cause various other problems including public health problems, one of which is causing infectious diseases. In such a case, this research work proposes a mobile application for flood disaster monitoring that will help the Jakarta government to maintain the flood as real flood information in Jakarta. The Jakarta city government and the residents of the city of Jakarta can work hand in hand using mobile application technology to combat this flood problem and enable the Jakarta city government to quickly overcome any reported flood problems. The proposed mobile application was modeled with a use case and class diagrams. © 2021 IEEE.

关键词： Disasters

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Effect of think-pair-share in a large CS1 class: 83% sustained engagement

Effect of think-pair-share in a large CS1 class: 83% sustain...

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9th Annual International Computing Education Research Conference, ICER 2013

作者： Kothiyal, Aditi Majumdar, Rwitajit Murthy, Sahana Iyer, Sridhar Inter-disciplinary Programme in Educational Technology IIT Bombay India Department of Computer Science and Engineering IIT Bombay India

ISBN: (纸本)9781450322430

Think-Pair-Share (TPS) is a classroom-based active learning strategy, in which students work on a problem posed by the instructor, first individually, then in pairs, and finally as a classwide discussion. TPS has been recommended for its benefits of allowing students to express their reasoning, reflect on their thinking, and obtain immediate feedback on their understanding. While TPS is intended to promote student engagement, there is a need for research based evidence on the nature of this engagement. In this study, we investigate the quantity and quality of student engagement in a large CSl class during the implementation of TPS activities. We did classroom observations of students over a period of ten weeks and thirteen TPS activities. We determined patterns of student engagement in the three phases using a real-time classroom observation protocol that we developed and validated. We found that 83% of students on average were fully or mostly engaged. Predominant behaviors displayed were writing the solution to the problem (Think), discussing with neighbor or writing (Pair), and following class discussion (Share). We triangulated results with survey data of student perceptions. We find that students report being highly engaged for 62% during Think phase and 70% during Pair phase. Copyright © 2013 ACM.

关键词： Students

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Correction: Prospective prediction of childhood body mass index trajectories using multi-task Gaussian processes

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International journal of obesity (2005) 2025年第2期49卷 364-365页

作者： Arthur Leroy Varsha Gupta Mya Thway Tint Delicia Shu Qin Ooi Fabian Yap Ngee Lek Keith M Godfrey Yap Seng Chong Yung Seng Lee Johan G Eriksson Mauricio A Álvarez Navin Michael Dennis Wang Department of Computer Science The University of Manchester Manchester UK. Institute for Human Development and Potential Agency for Science Technology and Research (A*STAR) Singapore Republic of Singapore. Bioinformatics Institute Agency for Science Technology and Research (A*STAR) Singapore Republic of Singapore. Department of Paediatrics Yong Loo Lin School of Medicine National University of Singapore Singapore Republic of Singapore. Department of Paediatrics KK Women's and Children's Hospital Singapore Republic of Singapore. Duke-NUS Medical School Singapore Republic of Singapore. MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK. Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme Yong Loo Lin School of Medicine National University of Singapore Singapore Republic of Singapore. Division of Paediatric Endocrinology Department of Paediatrics Khoo Teck Puat-National University Children's Medical Institute National University Hospital National University Health System Singapore Republic of Singapore. Department of General Practice and Primary Health Care University of Helsinki Helsinki Finland. Folkhälsan Research Center Helsinki Finland. Department of Computer Science University of Sheffield Sheffield UK. Institute for Human Development and Potential Agency for Science Technology and Research (A*STAR) Singapore Republic of Singapore. dennis_wang@sics.a-star.edu.sg. Bioinformatics Institute Agency for Science Technology and Research (A*STAR) Singapore Republic of Singapore. dennis_wang@sics.a-star.edu.sg. Department of Computer Science University of Sheffield Sheffield UK. dennis_wang@sics.a-star.edu.sg. National Heart and Lung Institute Imperial College London London UK. dennis_wang@sics.a-star.edu.sg.

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