No. 6

December, 2021

APNNS NEWSICONIP 2021 Venue - Bali, Indonesia

APNNS NEWSNo. 6 (December, 2021)

APNNS NEWSNo. 6 (December 2021)

CONTENTS
1. President’s Message ....................................................................................................................... 1
2. The 12th International Cybersecurity Data Mining Competition (CDMC 2021)..................... 4
3. The 14th International Workshop on Artificial Intelligence and Cybersecurity (AICS 2021) 5
3.1 AICS2021 Program (8 December 2021) ......................................................................................................5
3.2 AICS2021 Keynotes Talk ...........................................................................................................................7

4. International Conference on Neural Information Processing (ICONIP) series ....................... 9
5. ICONIP 2021 Information .......................................................................................................... 11
5.1 Overview .................................................................................................................................................. 11
5.2 Organizing Committee .............................................................................................................................. 12
5.3 History ..................................................................................................................................................... 14

APNNS NEWSNo. 6 (December, 2021)

1. President’s Message

Prof. Seiichi Ozawa, President
I hope you are all doing well. It is with great regret that the momentum of the COVID-19 pandemic
is still not over and our research activities continue to be restricted. The 28th International
Conference on Neural Information Processing (ICONIP2021), held from December 8 to December
11, was successfully organized with great success. Originally, it was supposed to be held in Bali,
Indonesia, but due to the COVID-19 pandemic, it was forced to be held online again. This is thesecond consecutive year that ICONIP has been held online, following Bangkok (Thailand). Despite
this situation, more than 1000 papers were submitted by researchers from all over the world,
confirming ICONIP as a major international conference in the field of neural networks, machinelearning, and soft computing.
ICONIP was started in 1994 as the flagship conference of Asia Pacific Neural Network Assembly(APNNA), which was the previous organization of APNNS, and ICONIP was first held in Seoul,
Korea in 1994. Then, APNNS was reorganized as an academic organization from APNNA in 2016,
throughout APNNA and APNNS era, ICONIP conferences have been held every year mainly
within Asia Pacific Rim. In Southeast Asia, ICONIP has been held in Singapore, Thailand,
Malaysia, and Cambodia, and this year, Indonesia. It is a great pleasure to hold the 28th ICONIP
conference in Indonesia. On the other hand, it was a bit surprise that this is the first ICONIP held inIndonesia because Indonesia is a major country in Asia. Therefore, I was really looking forward to
the ICONIP 2021 to be held in Bali. Unfortunately, it was not realized, but I am very grateful toProf. Teddy Mantoro, the general chair of ICONP2021, and the organizing committee for their hard
work in preparing a virtual system that makes us feel a taste of Bali.
Currently, the APNNS has 572 members (as of December 9, 2021). Most of them are from China,
Korea, Australia, India, and Japan; there are not many Indonesian members yet. However, many
Indonesian faculty members and researchers who have supported this conference and their students
who are under their guidance are participating in this conference. I believe that many of ourIndonesian compatriots will join APNNS after this conference. APNNS is a society that connects
researchers in brain engineering and brain science research in the Asia Pacific Rim region, and I amvery happy to invite Indonesian people to make this circle even larger. Next year, ICONIP2022 will
be held in India, and I hope that APNNS can further contribute to the development of brain scienceand brain engineering in the Asia Pacific Rim region.
It is hoped that next year the COVID-2019 pandemic will be under control and our international
collaborative activities will be easier to carry out. For the past two years, the activities of the society
have been restricted to online, but I think it is time to discuss our activity policy on how APNNS
can contribute to its members, assuming that we can resume our original activities. I will be

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discussing and deciding on this activity policy of the society with the following APNNS board ofgovernors and will notice you our new policy in the near future.
Have a happy and healthy Christmas and New Year!

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APNNS has a strong leadership provided by the Board of Governors:
Seiichi Ozawa
President
Center for Mathematical andData Sciences
Kobe University
Email: ozawasei [at] kobe-u.ac.jp

Zeng-Guang HouVice-President for Administration

Tingwen Huang
Immediate Past President

Institute of Automation
Chinese Academy of Sciences, Beijing
Email: zengguang.hou [at] ia.ac.cn

Faculty of Science
Texas A&M University at Qatar
Email: tingwen.huang [at]qatar.tamu.edu

Sung-Bae Cho
Vice-President for Membership

Kazushi Ikeda
Vice-President for Fianance

Department of Computer Science
Yonsei University
Email: sbcho [at] cs.yonsei.ac.kr

Mathematics Informatics Laboratory
Nara Institute of Science andTechnology
Email: kazushi [at] is.naist.jp

Minho Lee
Vice-President for Industry
Relationship

APNNS NEWS

Kevin Wong
Vice-President for Conferences

School of Electronics Engineering,
Department of AI
Kyungpook National University
Email: mholee [at] knu.ac.kr

Information Technology Murdoch
University

Paul Pang
Vice-President for Competitions

James Kwok
Vice-President for Publications

School of Science, Engineering andInformation Technology
Federal University Australia
Email: p.pang [at] federation.edu.au

Department of Computer Science andEngineering
Hong Kong University of Science andTechnology
Email: jamesk [at] cse.ust.hk

Email: k.wong [at] murdoch.edu.au3

No. 6 (December, 2021)

2. The 12th International Cybersecurity
Data Mining Competition (CDMC 2021)

Paul Pang, VP Competitions
http://www.csmining.org/
The CDMC2021 is a challenging, multi-month research and practice competition, focusing on theapplication of knowledge discovery techniques to address cyber security challenges in real-world
applications. The competition is open to multi-person teams or individuals worldwide, particularly
welcoming university students, undergraduate or postgraduate in the field of data science, network
engineering, cyber security, and artificial intelligence.
The competition has attracted a total of 128 participations from 17 countries. According to theperformance evaluation, the following participants are awarded the top 3 teams:

The First Place Winner
Shuai Wang, Peixuan Li, Tianhe Lu, Tianjie Ju, Gongshen Liu
Shanghai Jiao Tong University, China

The Second Place Winner
Marimo NAGAE, Ayano NISHIMURA, Aiko MICHIYAMA, Yurina WADA, Yuri MANABE, Ayaka
YAMANE, Yumiko NOSAKA, Runa HARA, Kaho KIDOGUCHI, Mimi OKUMURA, Hana SHIRAI,
Yuki MARUNO
Kyoto Women's University, JapanThe Third Place Winner
Raffaele Morganti
University of Milano-Bicocca, Italy

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3. The 14th International Workshop on
Artificial Intelligence and Cybersecurity(AICS 2021)

Paul Pang, VP Competitions
The 14th International Workshop on Artificial Intelligence and Cybersecurity (AICS 2021) will beheld as a special event at the 27th International Conference on Neural Information Processing(ICONIP 2021), Bali, Indonesia.

3.1 AICS2021 Program (8 December 2021)
Time
10:30 – 11:15

ProgramKeynote 1:
Fighting IoT Cyberattacks: Device Discovery, Attack
Observation, and Security Notification

Session Chair
Sye Loong KeohProf Katsunari Yoshioka
Yokohama National University, Japan
Session I
11:15 – 11:30

JStrack: Enriching Malicious JavaScript Detection Based on ASTGraph Analysis and Attention Mechanism

Muhammad Fakhrur Rozi (NIICT, Japan), Tao Ban (NIICT,Japan), Seiichi Ozawa (Kobe University, Japan), Sangwook Kim(Kobe University, Japan), Takeshi Takahashi (NIICT, Japan), andDai Inoue (NIICT, Japan)
11:30 – 11:45

A Segment-Based Layout Aware Model for Information
Extraction on Document Images

Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang and Xiaowei
Huang (Xi’an Jiaotong-Liverpool University, China)
11:45 – 12:00

FHTC: Few-shot Hierarchical Text Classification in Financial
DomainAnqi Wang, Qingcai Chen and Dongfang Li (Harbin Institute ofTechnology (Shenzen), China)

12:00 – 12:15

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Session II
12:15 – 13:00

Keynote 2:
Building Security and Privacy Assured Deep Neural Networks

Geong Sen Poh

Dr. Surya Nepal
CSIRO Data61, Australia
13:00 – 13:15

A Comparative Study of Transformers on Word Sense
Disambiguation

Avi Chawla (Mastercard), Nidhi Mulay (Mastercard), Vikas
Bishnoi (Mastercard), Gaurav Dhama (Mastercard), and Anil
Kumar Singh (IIT (BHU) Varanasi, India)
13:15 – 13:30

Retinal Vessel Segmentation based on Gated Skip-connection
Network

Huixia Yao, Yun Jiang, Tongtong Cheng and Jing Gao(Northwest Normal University Lanzhou, China)

13:30 – 14:15

Session III
14:15 – 15:00

LUNCH

Invited Talk:
Decentralized Learning for Anomaly Detection: Challenges andOpportunities

Paul Pang

Dr. Tianwei Zhang
School of Computer Science and Engineering, Nanyang
Technological University, Singapore
15:00 – 15:15

Question Answering over Knowledge Base Embeddings with
Triples Representation Learning

Zicheng Zuo (Shandong Jiaotong University, China), Zhenfang
Zhu (Shandong Jiaotong University, China), Wenqing Wu(Shandong Jiaotong University, China), Qiang Lu (Shandong
Jiaotong University, China), Dianyuan Zhang (Shandong
Jiaotong University, China) and Wenling Wang (Ludong
University, China)
15:15 – 15:30

Combining Wikipedia to Identify Prerequisite Relations ofConcepts in MOOCs

Haoyu Wen, Xinning Zhu, Moyu Zhang, Chunhong Zhang, andChangchuan Yin (Beijing University of Posts andTelecommunications, China)
15:30 – 15:45

CDMC2021 Winner Presentation:

Shuai Wang, Peixuan Li, Tianhe Lu, Tianjie Ju, and Gongshen
Liu (Shanghai Jiao Tong University, China)
15:45 – 16:00

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3.2 AICS2021 Keynotes Talk

Title: Building Security and Privacy
Assured Deep Neural Networks
Dr. Surya Nepal, CSIRO Data61, Australia

Biography - Dr. Surya Nepal is a Senior Principal Research Scientist at CSIRO Data61. Hecurrently leads the distributed systems security group comprising 30+ research staff and 50+
postgraduate students. His main research focus is on the development and implementation oftechnologies in the area of cybersecurity and privacy and AI and Cybersecurity. He has more than
250 peer-reviewed publications to his credit. He is a member of the editorial boards of IEEE
Transactions on Service Computing, ACM Transactions on Internet Technology, IEEE
Transactions on Dependable and Secure Computing, and Frontiers of Big Data- Security Privacy
and Trust. He is also currently holding the position of deputy research director at Cybersecurity
Cooperative Research Centre (CRC).
Abstract - AI/ML technology has the potential to bring significant benefits to the economy andsociety. It is a tremendous promise. The technology has been developed, deployed, and adopted inmany real-life critical applications to fulfill its promise. It helps us to drive cars, doctors to make adiagnosis, employers to hire people, governments to create policies, make our cyberspace secureand safe, address the skill shortage through automation. However, it also introduces significant risks
that need to be managed. For example, Backdoor attacks insert hidden associations or triggers to thedeep learning models to override correct inference such as classification and make the system
perform maliciously according to the attacker-chosen target while generally behaving in theabsence of the trigger. In addition, it has been demonstrated that ML models learn more thannecessary from the data and endanger individuals’ privacy. Hence, AI/ML systems must have theproperties of trustworthy computing, such as security and privacy. This talk first provides a brief
overview of security and privacy issues in deep neural networks, then presents recent efforts inbuilding trustworthy deep neural networks, and finally some challenges and opportunities.

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Title: Fighting IoT Cyberattacks: Device Discovery,
Attack Observation, and Security Notification
Prof. Katsunari Yoshioka, National Yokohama University, Japan

Biography - Prof Katsunari Yoshioka received the B.E., M.E., and Ph.D. degrees in computerengineering from Yokohama National University, in 2002, 2005, and 2020, respectively. From2005 to 2007, he was a Researcher with the National Institute of Information and Communications
Technology, Japan. He is currently an Associate Professor with the Division of Social Environment
and Informatics, Graduate School of Environment and Information Sciences, Yokohama National
University. His research interest includes information security, including malware analysis, network
monitoring, intrusion detection, and information hiding.
Abstract - IoT cyber security has become one of the most important and challenging topics in recent
years. In this talk, new trends in IoT cyber-attacks, malware evolution, and efforts to discover andmitigate insecure and/or compromised devices are explained.

Title: Decentralized Learning for Anomaly Detection:
Challenges and Opportunities
Dr. Tianwei Zhang, NTU, Singapore

Biography - Dr. Tianwei Zhang is currently an assistant professor of the School of Computer
Science and Engineering, at Nanyang Technological University. He received his Bachelor’s degree
at Peking University, China, in 2011, and a Ph.D. degree in Electrical Engineering at Princeton
University in 2017. His research focuses on computer system security. He is particularly interested
in distributed system security, computer architecture security, and machine learning security. He
has published more than 40 papers in top-tier AI, security, and system conferences and journals.
Abstract - The rapid development of edge computing and deep learning technologies leads to thearea of Artificial Intelligence of Things. Meanwhile, modern edge systems are also facing a variety
of security threats when interacting with the complex and dynamic environment. Hence, it has
become popular to train and deploy deep learning models on edge devices to perform anomaly
detection and protect their runtime execution. The gap between large-scale deep learning models
and resource-constrained devices calls for the decentralized learning solution, where multiple
participants train the target model collaboratively with high efficiency, generalization, and privacy
guarantee. In this talk, I will first present a case study about anomaly detection with decentralized
learning in the context of autonomous driving systems. Then, I will discuss some inherent privacy
vulnerabilities in distributed learning, and innovative defense solutions to make artificial intelligent
systems more trustworthy and efficient.

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4. International Conference on Neural Information
Processing (ICONIP) series

Kevin Wong, VP Conferences

The International Conference on Neural Information Processing (ICONIP) is a flagship international
conference supported by the Asia Pacific Neural Network Society (APNNS). ICONIP conference
series aim to provide a leading international forum for researchers, scientists, and industry
professionals who are working in neuroscience, neural networks, deep learning, and related fields toshare their new ideas, progresses and achievement, through its regular sessions, special sessions,tutorials, and workshops. The conference is normally held in the month of November or December.
ICONIP 2021 will be held virtually from 8 December 2021 to 11 December 2021, which is organised
and hosted by Indonesia (see https://iconip2021.apnns.org/). The main proceedings for the ICONIP
is normally published in the Lecture Notes in Computer Science book series. The proceedings of
ICONIP 2021 consists of a four-volume set, LNCS 13108- 13111, which includes 226 papers selectedfrom 1093 submissions, representing an acceptance rate of 20.86%.
The call for bidding of the ICONIP will normally close before end of November. We have received
the bids for running ICONIP 2024 this year and announcement of the successful bidding will beannounced and of 2021 or beginning 2022. For any future bidding, you can contact the Vice President(Conference).
From year 2020, APNNS have applied the following financial policy to ICONIP conferences.
1.

Conference budget – income & outcome (expenditure)
A. Budget Plan: The candidate of general chair for future ICONIPs should prepare abudget plan including the venue, number of expected submitted papers as well as
registration fee. He or she must prepare a several budget plan options depending on the
expectation of number of submitted papers. If it is necessary to change the original
proposal including the venue and registration fee, the host should get an approval fromAPNNS EXCO.
B. Income: The registration fee is collected by APNNS through a registration site that is
set up by APNNS. APNNS is responsible to collect ICONIP registration fee using
credit card and/or Paypal services.
C. Outcome: After the conference, the general chair and financial chair should report all of
expense with receipts to APNNS auditors within 3 months after the conference. The VP
for finance should check with audit report prepared by APNNS auditors, and then
GBCon approve it.

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2.

Profit sharing
A. Profit should be shared by local organizer and APNNS as 50/50 split.

3.

Insurance and seed money
A. The APNNS should provide a seed money. If the host has a surplus, the host for the
conference should return the seed money to APNNS. The financial VP shouldsuggest a certain amount of seed money. EXCO can decide it with approval in the
GB meeting. If the host has a deficit after paying the society fee, the host should
return the seed money after deducting a certain amount of deficit from the seedmoney. The percentage of the deficit that can be covered will need to be negotiatedbetween the APNNS and ICONIP.

4.

PC members
A. PC members should review a certain number of papers.
B. APNNS prepare a list of PC members, and provide to conference PC chairs.
C. After the conference, the PC chairs should update the list and report with reviewers’
evaluation to VP for conference.
D. PC chairs should discuss with APNNS for the acceptance rate.
E. PC chairs should take care of all reviewing process including those papers submitted
to workshops and special sessions.

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5. ICONIP 2021 Information

Teddy Mantoro and Minho Lee, General Chair and Co-Chair of ICONIP 2021

5.1 Overview
The 28th International Conference on Neural Information Processing (ICONIP2021) aims toprovide a leading international forum for researchers, scientists, and industry professionals who are
working in neuroscience, neural networks, deep learning, and related fields to share their new ideas,
progresses and achievement, through its regular sessions, special sessions, tutorials, and workshops.
ICONIP 2021 will be held in online mode during December 8-12, 2021

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5.2 Organizing Committee
Advisory Committee
Jonathan Hoyin Chan,
Lance Fung,

ThailandAustralia

General Chair and Co-Chair
Teddy Mantoro,
Minho Lee,

Indonesia
South Korea

Program Co-Chairs
Media Ayu,
Kevin Wong,
Achmad Nizar,

Indonesia
Australia
Indonesia

Finance Co-Chairs
Kurnianingsih,
Kazushi Ikeda,

Indonesia
Japan

Special Sessions Co-Chairs
Sunu Wibirama,
Paul Pang,
Noor Akhmad Setiawan

Indonesia
Australia
Indonesia

Publicity Co-Chairs
Dwiza Riana,
M. Tanveer,

Indonesia
India

Publication Co-Chairs
Adi Wibowo,
Sung Bae Cho,

Indonesia
Korea

Local Arrangement Co-Chairs
Linawati,
W.G. Ariastina,

Indonesia
Indonesia

Tutorial & Workshop Co-Chairs
Suryono,Muhammad Agni
Catur Bhakti,
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Indonesia
Indonesia
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No. 6 (December, 2021)

Meyliana,
Frieyadie,Indonesia
Indonesia

Regional Liaison Committee
Jianke Zhu,
Bo Zhang,
Sonali Agarwal,

China
FranceAllahabadSponsors:

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5.3 History
27th International Conference on Neural Information Processing, Bangkok, Thailand, 2020
26th International Conference on Neural Information Processing, Sydney, Australia, 2019
25th International Conference on Neural Information Processing, Siem Reap, Cambodia, 2018
24th International Conference on Neural Information Processing, Guangzhou, China, 2017
23rd International Conference on Neural Information Processing, Kyoto, Japan, 2016
22nd International Conference on Neural Information Processing, Istanbul, Turkey, 2015
21st International Conference on Neural Information Processing, Kuching, Sarawak, Malaysia,
2014
20th International Conference on Neural Information Processing, Daegu, Korea, 2013
19th International Conference on Neural Information Processing, Doha, Qatar, 2012
18th International Conference on Neural Information Processing, Shanghai, China, 2011
17th International Conference on Neural Information Processing, Sydney, Australia, 2010
16th International Conference on Neural Information Processing, Bangkok, Thailand, 2009
15th International Conference on Neural Information Processing, Auckland, New Zealand, 2008
14th International Conference on Neural Information Processing, Kitakyushu, Japan, 2007
13th International Conference on Neural Information Processing, Hong Kong, 2006
12th International Conference on Neural Information Processing, Taipei, 2005
11th International Conference on Neural Information Processing, Calcutta, India, 2004
10th International Conference on Neural Information Processing, Istanbul, Turkey, 2003
9th International Conference on Neural Information Processing, Singapore, 2002
8th International Conference on Neural Information Processing, Shanghai, China, 2001
7th International Conference on Neural Information Processing, Taejon, Korea, 2000
6th International Conference on Neural Information Processing, Perth, Australia, 1999
5th International Conference on Neural Information Processing, Kitakyushu, Japan, 1998

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4th International Conference on Neural Information Processing, Dunedin, New Zealand, 1997
3rd International Conference on Neural Information Processing, Hong Kong, 1996
2nd International Conference on Neural Information Processing, Beijing, China, 1995
1st International Conference on Neural Information Processing, Seoul, Korea, 1994

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