Image and Vision Computing, Special Issue on “Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision”

January 28th, 2025 Daniela Lopez de Luise
*** Call for Papers –  Image and Vision Computing***

Special issue on Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision

*PAPER SUBMISSION DEADLINE: Feb 7, 2025, April 7th, 2025*
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= OVERVIEW =

The rapid advancement of deep learning presents significant challenges, particularly in the realm of ethical data collection and usage. As regulations like the General Data Protection Regulation (GDPR) gain prominence, the need for rigorous ethical standards across various fields becomes increasingly apparent. In domains such as biometrics, data has frequently been collected without appropriate consent or ethical consideration. The medical field, in particular, grapples with the dual challenges of safeguarding privacy and the inherent difficulties of data acquisition.

Ensuring continued progress in deep learning requires that data collection and generation practices adhere to strict ethical guidelines. Greater control over data is essential to enhancing transparency and fairness within deep learning methodologies. Attention must also be given to the explainability of systems trained on generated data, as well as the fairness implications of using synthetic datasets. Addressing these challenges is critical to fostering more ethical and responsible advancements in deep learning.


= SPECIAL ISSUE TOPICS =

The Special Issue aims to promote research on the use of Explainable AI and Synthetic Data to enhance transparency and privacy in Biometrics and Computer Vision.  Topics include, but are certainly not limited to:
  • Responsible image synthesis
  • Generative models
  • Assessing and comparing AI explanations
  • Researching causal learning and inference
  • Synthetic medical data with clinical information
  • Innovative synthesis of biometric data
  • Generating natural language for explanations
  • AI transparency and fairness
  • Learning from synthetic data
  • Interpreting biometric models and vulnerabilities
  • Fairness enhancement with synthetic data

= IMPORTANT DATES =

Submission dates:


Submission Open Date: Oct 1st, 2024
Final Manuscript Submission Deadline: April 7th, 2025
Editorial Acceptance Deadline: June 7th, 2025


= GUEST EDITORS =

Lucia Cascone – University of Salerno, Italy (lcascone@unisa.it)
Zilong Huang – TikTok, Singapore (zilonghuang2020@gmail.com)
Pedro C. Neto – Unilabs & FEUP (pedro.d.carneiro@inesctec.pt)
Ana F. Sequeira – INESC TEC (ana.f.sequeira@inesctec.pt)

= SUBMISSION AND REVIEW DETAILS =

Manuscript submission information:

The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from Oct 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: XAISynData” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors – Image and Vision Computing – ISSN 0262-8856 (elsevier.com). 

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ICSC 2025 CFP: The Fifth Intelligent Cybersecurity Conference, Tampa, Florida, USA. May 19-22, 2025

January 28th, 2025 Daniela Lopez de Luise


The Fifth Intelligent Cybersecurity Conference (ICSC2025)

Hybrid Event

https://www.icsc-conference.org/2025/

Tampa, Florida, USA. May 19-22, 2025

Technically Co-Sponsored by IEEE Florida West Coast Section

ICSC 2025 CFP:

In today’s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others.

The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to:

  • Intelligent systems for effective detection of cyber-attacks
  • Advanced Intelligent systems and data analytics for Cloud/Edge systems security
  • Malware detection using intelligent systems Vulnerability assessment
  • Intelligent systems for intrusion detection in Internet of Things (IoT) systems
  • Network forensics using intelligent systems and data analytics
  • Data Analytics for privacy-by-design in smart health
  • Datasets, benchmarks, and open-source packages
  • Recourse efficient deep learning
  • Adversarial Machine learning and Backdoor Attacks
  • Blockchain Systems for Cyber Security
  • Trustworthy AI Systems
  • Intelligent Systems for Misinformation Detection

  Submissions Guidelines and Proceedings

Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion.

Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be up to 6 pages.

Important Dates:

  • Paper submission deadline: Feb 15th 2025 (Extended)
  • Notification of acceptance: April 1st, 2025
  • Camera-ready Submission: April 21st, 2025

 

Contact:


Please send any inquiry on ICSC to Fahed Alkhabbas at: fahed.alkhabbas@mau.se

 

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HHAI2025 – Call for Papers, Workshop and Tutorial Proposals (June 9-13, 2025, Pisa, Italy)

January 28th, 2025 Daniela Lopez de Luise

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CALL FOR PAPERS

HHAI 2025 – Hybrid Human-Artificial Intelligence

https://hhai-conference.org/2025/

June 9–13, 2025, Pisa, Italy 

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Hybrid Human-Artificial Intelligence (HHAI) is an international conference series that focuses on the study of Artificial Intelligence systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. HHAI aims for AI systems that work together with humans, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems. HHAI systems leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations.

HHAI 2025 will be held on June 9–13, 2025, in Pisa, Italy, and is the fourth conference in the series. The HHAI field is driven by developments in AI, but it also requires fundamentally new approaches and solutions. Thus, we encourage collaborations across research domains such as AI, HCI, cognitive and social sciences, philosophy and ethics, complex systems, and others. In this fourth international conference, we invite scholars from these fields to submit their best original – new as well as in progress – works, and visionary ideas on Hybrid Human-Artificial Intelligence.

The conference will feature three outstanding keynote speakers:

– Prof. John Shawe-Taylor (University College London, UK)

– Dr. Jonathan Stray (Berkeley Center for Human-Compatible AI, University of California, US)

– Prof. Sandra Wachter (Oxford Internet Institute, University of Oxford, UK)

**Join the HHAI community and keep up with the news:**

Website: https://hhai-conference.org/2025/

Linkedin: https://www.linkedin.com/company/hhai-conference/

X: https://x.com/hhai_conference

Mastodon: https://sigmoid.social/@hhai

IMPORTANT DATES

Abstract submission: January 24th, 2025 (extended)

Paper submission: January 31th, 2025 (extended)

Acceptance notification: March 16th, 2025

Camera-ready version: April 13th, 2025 

Conference: June 9-13, 2025

LOCATION

HHAI 2025 will be an in-person, single-track conference organized in Pisa, Italy. Workshops and tutorials (9-10 June) will be held at the University of Pisa and Scuola Normale Superiore in Pisa, Italy. The main conference (11-13 June) will be held at CNR. 

TOPICS

We invite research on different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive:

– Human-AI interaction, interpretation and collaboration

– Adaptive human-AI co-learning and co-creation

– Learning, reasoning and planning with humans and machines in the loop

– User modeling and personalisation

– Integration of learning and reasoning

– Transparent, explainable, and accountable AI

– Fair, ethical, responsible, and trustworthy AI

– Societal awareness of AI

– Multimodal machine perception of real-world settings

– Social signal processing

– Representations learning for Communicative or Collaborative AI

– Symbolic representations for human-centric AI

– Human-AI Coevolution

– Foundation models and humans

– Human cognition-aware AI

– Decentralized human-AI systems

– Reliability and robustness in human-AI systems

– Applications of hybrid human-AI intelligence

We welcome contributions about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models.

PAPER TYPES

In this conference, we wish to stimulate the exchange of novel ideas and interdisciplinary perspectives. To do this, we will accept three different types of papers:

– Full papers present original, impactful work (12 pages excluding references)

– Blue sky papers present visionary ideas to stimulate the research community (8 pages excluding references)

– Working papers present work in progress (8 pages excluding references)

Accepted full papers and Blue sky papers will be published in the Proceedings of the Fourth International Conference on Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press. Working papers can be included in these proceedings, unless the authors request the paper to remain unpublished.

REVIEWING PROCESS & SUBMISSION GUIDELINES

Submissions of full, blue-sky, and working papers should be original work without substantial overlap with pre-published papers. All submissions should adhere to IOS formatting guidelines. Papers should be written in English and detailed submission instructions can also be found here.

**Important**

HHAI 2025 will follow a double-blind reviewing process. Thus, submissions must exclude all information that might disclose the authors’ names or affiliations. 

All studies involving human participants should have received human-research ethics consent from the relevant institutions and mention this in the paper. 

Work should be submitted in PDF format via Easychair (link to be announced soon).

On acceptance, at least one author should attend the conference. A significant contribution is expected from all authors. 

PROGRAM CHAIRS

Chiara Boldrini (IIT-CNR, IT)

Luca Pappalardo (ISTI-CNR, IT)

Andrea Passerini (University of Trento, IT)

Shenghui Wang (University of Twente, NL)

CONFERENCE CHAIRS

Michela Milano (University of Bologna, IT)

Dino Pedreschi (University of Pisa, IT)

Stuart Russell (University of California Berkeley, US)

Ilaria Tiddi (Vrije Universiteit Amsterdam, NL)

CONTACT INFORMATION

For questions, you can reach the program chairs at: program@hhai-conference.org

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HHAI2025 – Call for Workshop and Tutorial Proposals

Workshops and tutorials (Pisa, Italy): June 9-10, 2025

Main conference (Pisa, Italy): June 11-13, 2025

Workshop and tutorial proposals submission: January 31, 2025

Website: https://hhai-conference.org/2025/workshops-and-tutorials/

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ONE WEEK LEFT FOR SUBMISSIONS – January 31, 2025] Elsevier COMNET Special Issue on Generative and Explainable AI for Internet Traffic and Network Architectures

January 28th, 2025 Daniela Lopez de Luise



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                     CALL FOR PAPERS


         Special Issue on Generative and Explainable AI

         for Internet Traffic and Network Architectures


                 Elsevier Computer Networks


https://www.sciencedirect.com/journal/computer-networks/about/call-for-papers#generative-and-explainable-artificial-intelligence-for-internet-traffic-and-architectures


(EXTENDED Submission deadline: January 31, 2025)

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We are pleased to announce a call for papers for a special issue of
Elsevier Computer Networks journal, focusing on the transformative potential
of generative and explainable AI in Internet traffic analysis and network

architectures. As Internet-connected devices multiply and traffic data grows

exponentially, traditional methods are increasingly challenged. This special

issue aims to highlight how generative AI can synthesize realistic traffic data,

automate network configurations, and enhance security measures. Additionally,

explainable AI can provide deeper insights into network behaviors, improving

transparency, trust, and overall network performance.


We invite you to contribute to this pioneering special issue and lead the

advancement of AI-driven innovations in Internet traffic analysis and network

architectures.


Key Topics of Interest include but are not limited to the following:

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Special Session on “Proactive Social Perception for Human-Robot Collaboration: From Vision to Language” – IAS19

January 28th, 2025 Daniela Lopez de Luise
IAS-19 – The 19th International Conference on Intelligent Autonomous Systems

Genoa (Italy), June 30 – July 4, 2025.

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