[agents] [CFP] PSTrustAI 2020 - Special Session on Privacy, Security and Trust in Artificial Intelligence - Deadline extended to October 15, 2019

[Grégoire DANOY]

PSTrustAI 2020
Special Session on Privacy, Security and Trust in Artificial Intelligence

at the 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2020)
Phuket, Thailand, March 23-26, 2020
Conference website: http://www.aciids.pwr.edu.pl/ <http://www.aciids.pwr.edu.pl/>

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Objectives and topics
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Breakthroughs in Artificial Intelligence (AI) combined with big data and high-performance computing has seen the emergence of society-changing AI applications. However, autonomous decision-making and the black-box design of Machine Learning (ML) make the adoption of AI systems complicated and debates about privacy, threats, and vulnerabilities have to be raised, discussed and solutions have to be proposed. Moreover, the scientific challenges are interlinked with regulatory questions: Companies, governments, and business sectors often rely on regulations and standards to ensure secure and safe use, but also to build trust with the customers. This workshop offers researchers and regulators the opportunity to discuss privacy, security, and trust of AI systems while identifying new directions and approaches. The scope of the PSTrustAI includes, but is not limited to the following topics:

• Privacy-preserving machine learning
• Threats and vulnerabilities of training data
• Model attacks and attack mitigation
• Privacy attacks on machine learning models
• Anonymization and de-anonymization techniques
• Explainable AI and transparent AI
• Analysis of machine learning models
• Visualization of machine learning models
• Trustworthy AI, trustworthiness, and trust concepts
• Network-based machine learning
• AI systems as complex networks
• Machine learning in complex networks
• Gap analysis between research and standardization
• Regulatory challenges of AI systems
• AI technical standardization
• Data and privacy governance


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Important dates
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Submission of papers: 15 October 2019
Notification of acceptance: 15 November 2019
Camera-ready papers: 1 December 2019
Registration & payment: 15 December 2019
Conference date: 23-26 March 2020


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Submission
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All contributions should be original and not published elsewhere or intended to be published during the review period. Authors are invited to submit their papers electronically in pdf format, through EasyChair. All the special sessions are centralized as tracks in the same conference management system as the regular papers. Therefore, to submit a paper please activate the following link and select the track: PSTrustAI 2020: Special Session on Privacy, Security and Trust in Artificial Intelligence.

https://easychair.org/conferences/?conf=aciids2020

Authors are invited to submit original previously unpublished research papers written in English, of up to 12 pages, strictly following the LNCS/LNAI format guidelines. Authors can download the Latex (recommended) or Word templates available at Springer's web site. Submissions not following the format guidelines will be rejected without review. To ensure high quality, all papers will be thoroughly reviewed by the EAML 2020 Program Committee. All accepted papers must be presented by one of the authors who must register for the conference and pay the fee. The conference proceedings will be published by Springer in the prestigious series LNCS/LNAI (indexed by ISI CPCI-S, included in ISI Web of Science, EI, ACM Digital Library, dblp, Google Scholar, Scopus, etc.).

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Special Session Organizers
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Prof. Pascal Bouvry
University of Luxembourg, Luxembourg
E-mail: pascal.bouvry at uni.lu<mailto:pascal.bouvry at uni.lu>

Dr. Matthias R. Brust
University of Luxembourg, Luxembourg
E-mail: matthias.brust at uni.lu<mailto:matthias.brust at uni.lu>

Dr. Grégoire Danoy
University of Luxembourg, Luxembourg
E-mail: gregoire.danoy at uni.lu<mailto:regoire.danoy at uni.lu>

Prof. El-Ghazali Talbi
University of Lille, INRIA, France
E-mail: el-ghazali.talbi at univ-lille.fr<mailto:el-ghazali.talbi at univ-lille.fr>

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