CSC2026 CFP: The IEEE co-sponsored 6th Intelligent Cybersecurity Conference, 15 – 18 September 2026 | Abu Dhabi, UAE


The Sixth Intelligent Cybersecurity Conference (ICSC2026)

https://icsc-conference.org/2026/

15 – 18 September 2026 | Abu Dhabi, UAE

Hybrid Event and Technically Co-Sponsored by IEEE UAE Section

ICSC 2026 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.

Important Dates:

  • Paper Submission: April 15, 2026
  • Notification to Authors: July 10, 2026
  • Camera Ready Submission: July 30, 2026

 

Contact:

 

Please send any inquiry on ICSC to :  

info@icsc-conference.org

Launching of the ACM SIGMM European Chapter

We are thrilled to announce the official launch of the ACM SIGMM European Chapter, a new regional hub dedicated to fostering collaboration, innovation, and community in the multimedia research and practice landscape across Europe.
 
The ACM Special Interest Group on Multimedia (SIGMM) has long connected global researchers, engineers, and practitioners working at the forefront of multimedia computing, communication, storage, and applications. Now, with the establishment of this European Chapter, we are taking a bold step to strengthen and structure our presence across Europe, bringing the SIGMM mission closer to the European activities in the Multimedia domain.
 
Our Vision & Missions
The European Chapter will:
  • Serve as a central point of contact for multimedia enthusiasts, practitioners, and researchers throughout Europe.
  • Support the creation and consolidation of local multimedia groups and networks, especially in regions and countries that have been underrepresented.
  • Strengthen exchanges between communities under the umbrella of multimedia, for example in Healthcare, Education, Humanities, Geospatial Science, Robotics, Entertainment & Gaming, Social Media & Communication.
  • Coordinate and promote European-wide events, thematic schools, workshops, discussion groups, and international initiatives related to multimedia.
  • Foster stronger collaboration between academic research and industry innovation.
Get Involved
  • We invite all multimedia professionals, researchers, students, and industry practitioners across Europe to join our community. Stay updated on events, initiatives, and opportunities by <a style="color:rgb(17,85,204);margin:0px" title="mailto:listserv@listserv.acm.org?body=subscribe%20mm-european-chapter" id="m_1040253467257931331OWA7bb886af-48c7-206c-7599-0ecbeebef7df" href="mailto:listserv@listserv.acm.org?body=subscribe%20mm-european-chapter” target=”_blank”>subscribing to the Chapter’s mailing list.
  • Communicate on your events and news by <a style="color:rgb(17,85,204);margin:0px" title="mailto:mm-european-chapter@listserv.acm.org" id="m_1040253467257931331OWAa9f45669-c4dc-a33f-6bef-c59fa1f7612c" href="mailto:mm-european-chapter@listserv.acm.org” target=”_blank”>posting on the list.
  • Follow us on LinkedIn.
Chapter Officers
The Chapter is currently led by:
Let’s build a thriving European multimedia network – together!
 
The SIGMM European Chapter Officers,
Valerie, Irene & Xavier

CVPR 2026 Workshop on Multimodal Algorithmic Reasoning (MAR) – Submission Deadline 5th March

The deadline for submission to the CVPR 2026 MAR workshop is extended to 5th March. If you work in multimodal learning, foundation models, or topics related to LLMs and cognition, we encourage you to submit your latest research to our workshop. See full details below. Apologies for cross-posting.
 


Multimodal Algorithmic Reasoning Workshop (MAR-CVPR 2026)

June 3rd / 4th, 2026, Denver

Held in conjunction with CVPR 2026

https://marworkshop.github.io/cvpr26/

CALL FOR PAPERS

Large AI frameworks have been rapidly increasing their data modeling capabilities in recent years, with compelling applications emerging frequently, some of which may even appear to challenge human intelligence. Yet, despite this impressive performance, there remain open questions about whether these models possess the foundations of general intelligence, or whether they succeed without human-like understanding. This motivates the development of better tools for assessing such models, alongside continued advances in model design.

This workshop focuses on multimodal algorithmic reasoning, where an agent must assimilate information from multiple modalities for complex problem solving. Real-world examples of such problems include: (i) chain-of-thought reasoning across modalities, (ii) vision-and-language problem solving, (iii) agentic reasoning and tool use, and (iv) reasoning under physical constraints, among others. Over the past year, we have seen rapid advances in AI that more effectively bridge modalities, inspiring both optimism about superhuman capabilities and skepticism about the limits of current approaches. This is an opportune moment to explore critical challenges, including new architectures for visual and physical reasoning, data generation via simulators, and the theoretical limits of reasoning in large models. 

Through talks by outstanding researchers and faculty, we aim to delve deeply into this topic at the intersection of multimodality, algorithmic foundations, and cognitive science, to better understand what has been achieved in machine intelligence and what remains missing relative to human cognition, as we seek the next steps toward advancing AI to the next frontier.

___________________________________________________________________________

KEYNOTE SPEAKERS

Pushmeet Kohli, Google DeepMind

Ali Farhadi, University of Washington

Melanie Mitchell, Santa Fe Institute,

Jiayuan Mao, University of Pennsylvania

Jialong Wu, Tsinghua University

__________________________________________________________________________

IMPORTANT DATES & DETAILS

Submission deadline: March 5 (Anywhere on Earth) 

Final decision notification: March 20 

Camera Ready: April 10

___________________________________________________________________________

TOPICS 

We invite submissions of original and high-quality research papers in the topics related to multimodal algorithmic reasoning. The topics for MAR-CVPR 2026 include, but are not limited to:

* Multimodal structured and multi-step reasoning across vision, language, audio, and other modalities, including compositional and programmatic inference.
* Multimodal foundation models and world models for reasoning, planning, and decision-making, and their connections to general intelligence.
* Reasoning under physical, geometric, and causal constraints, including embodied agents, simulators, and digital twins.
* Multi-agent reasoning and collaboration, including debate, coordination, mixture-of-experts, and reward- or critique-based aggregation.
* Extreme generalization and concept learning, including few-shot, zero-shot, and out-of-distribution multimodal reasoning.
* Scaling laws, efficiency, and test-time reasoning, including inference-time optimization, self-refinement, and tool-augmented reasoning.
* Benchmarks, datasets, diagnostics, and evaluation, including synthetic data, interpretability, and systematic analysis of shortcomings and failure modes in multimodal AI models.
* Theoretical and cognitive perspectives on multimodal reasoning, including limits of current models and insights from human cognition.

* Human–AI reasoning comparisons and foundations, including perspectives from psychology, neuroscience, and child development; theoretical limits of reasoning in large models; and position papers on how current multimodal AI reasoning differs from human cognition.

___________________________________________________________________________

SUBMISSION INSTRUCTIONS

We are inviting submissions of both original and previously published works.  

All submissions are handled via the workshop’s OpenReview website: https://openreview.net/group?id=thecvf.com/CVPR/2026/Workshop/MAR.

Submissions should be made in PDF format and must follow the CVPR 2026 submission style provided here: https://github.com/cvpr-org/author-kit/archive/refs/tags/CVPR2026-v1(latex).zip.

* We allow three types of submissions:

     1. Original and unpublished papers of up to 8 pages, which will be published as part of the CVPR 2026 workshop proceedings and will be released on the workshop website upon acceptance

     2. Original and unpublished papers of up to 4 pages, which will not be included in the CVPR workshop proceedings and will be released only on the workshop website upon acceptance; and

    3. Previously accepted or published papers of up to 8 pages, which will be released only on the workshop website upon acceptance to our workshop.

* All the page limits above are excluding references, acknowledgements, and other non-technical content (e.g., scope, limitations, impact statement).

* Authors may upload an optional Appendix, containing additional details, proofs, images, etc. as part of the submission pdf (after the references) or in a separate zip file (with a max of 50MB in size). The deadline for submitting these supplementary materials is the same as that for the main paper.

* All submissions should maintain author anonymity and should abide by the CVPR 2026 conference guidelines for double-blind review. 

* Accepted papers will be presented as either an oral, spotlight, or poster presentation. At least one author of each accepted submission must present the paper at the workshop in-person

* Presentation of accepted papers at our workshop will follow the same policy as that for accepted papers at the CVPR 2026 main conference.

* Accepted papers will be made publicly accessible on the workshop website shortly after the camera-ready deadline.

* The submitting authors are expected to also be reviewers for the workshop. 


___________________________________________________________________________
WORKSHOP ORGANIZERS

Anoop Cherian, Mitsubishi Electric Research Laboratories

Suhas Lohit, Mitsubishi Electric Research Laboratories

Kuan-Chuan Peng, Mitsubishi Electric Research Laboratories

Honglu Zhou, Salesforce AI Research

Kevin A. Smith, Massachusetts Institute of Technology

Joshua B. Tenenbaum, Massachusetts Institute of Technology

___________________________________________________________________________

CONTACT

Email: smart101@googlegroups.com 

Website: https://marworkshop.github.io/cvpr26/

📣 Call for Challenges — AVSS 2026 – DEADLINE EXTENSION 10 March – 📣


📣
 Call for Challenges — AVSS 2026  DEADLINE EXTENSION 10 March 📣



The 22th International Conference on Advanced Visual and Signal-Based Systems (AVSS 2026) (Lecce – Italy, 31 Aug 1-3  Sep 2026) invites proposals for Challenges to be held in conjunction with the main conference.


We extended the deadline for Challenge proposal to 10 March

Challenges will be accepted and launched as proposals are received


Challenges are what make a conference truly come alive, adding energy, excitement, and plenty of conversation throughout the conference. They turn great ideas into real-world tests, where methods are compared, results are shared, and progress happens together.

By working on shared datasets with clear tasks and evaluation rules, challenges support reproducible research, fair benchmarking, and hands-on experimentation. They also bring academia, industry, and public institutions to the same table—collaborating on concrete problems inspired by real needs.


AVSS 2026 is looking for bold and engaging challenges that showcase cutting-edge research while tackling important surveillance, safety, and security topics. Help us make AVSS 2026 more dynamic, interactive, and fun than ever!

👉 Got an idea? Let’s challenge the community!


🎯 Scope and Topics of Interest

We welcome challenge proposals aligned with (but not limited to) the following AVSS 2026 themes:

  • Image and Video Analytics

  • Model Security, Privacy, Fairness, and Robustness

  • Multimodal Sensor Fusion and AI-driven Situational Awareness

  • IoT and Signal Analytics

  • Environmental and Ecological Surveillance

  • Systems and Applications

  • Medical Imaging for Safety, Monitoring, and Security

  • Healthcare and Assisted Living Environments

  • Smart Cities and Infrastructure Monitoring

  • Retail Analytics

🌟 Why Challenges Matter at AVSS

Challenges are more than competitions — they are engines of community building and scientific progress:

  • 🔬 Promote reproducibility through shared datasets and evaluation protocols

  • ⚖️ Enable fair and transparent comparison of methods

  • 🚀 Accelerate innovation by focusing efforts on well-defined, impactful problems

  • 🤝 Bridge academia and industry, often leveraging real-world data and constraints

  • 🎓 Engage students and early-career researchers, making AVSS more inclusive and dynamic

By hosting challenges, AVSS 2026 aims to energize the conference, attract broader participation, and stimulate meaningful discussions that extend well beyond the event itself.


📄 Challenge Proposal Guidelines

Challenge proposals should include:

  1. Title and short description of the challenge

  2. Motivation and relevance to AVSS topics and community

  3. Task definition and expected outcomes

  4. Dataset description (existing or to be released, including access conditions)

  5. Evaluation protocol and metrics

  6. Organizing team (with brief bios and affiliations)

  7. Planned format (online phase, leaderboard, workshop session, etc.)

  8. Expected number of participants and outreach plan

🗓 Important Dates and Submission

  • Challenge proposal submission deadline: 15/02/2025

  • Notification of acceptance: 28/02/2025

  • Challenge launch: 04/03/2025

  • Final results & presentations at AVSS 2026

Challenge proposals should be submitted via  email at <a href="mailto:challenges@avss2026.org" title="mailto:challenges@avss2026.org” style=”color:rgb(0,120,212);margin-top:0px;margin-bottom:0px” target=”_blank”>challenges@avss2026.org

📬 Contact

For inquiries, please contact the AVSS 2026 Challenge Chairs at: <a href="mailto:challenges@avss2026.org" title="mailto:challenges@avss2026.org” style=”color:rgb(0,120,212);margin-top:0px;margin-bottom:0px” target=”_blank”>challenges@avss2026.org 


Marco Del Coco, PhD

National Research Council of Italy (CNR)
Institute of Applied Sciences and. Intelligent Systems – ScienceApp  (ISASI)

Cell.   +39 328 3577886

Linkedin: https://www.linkedin.com/in/marco-del-coco-cnr/
Web: https://www.isasi.cnr.it/profile/marco.delcoco/

Call for Participation: Machine Learning Summer School on Reliability and Safety (MLSS^R&S 2026)

We are pleased to announce the 4th edition of the Machine Learning Summer School (MLSS^R&S 2026). This year's program focuses on AI safety, reliability, and the robustness of machine learning systems.

 

Dates: June 29 – July 3, 2026

Location: Kraków, Poland

Website: https://mlss2026.mlinpl.org/

 

Key Speakers:

  • Franziska Boenisch (CISPA Helmholtz Center) – Private and trustworthy machine learning.

  • Dominik Janzing (Amazon) – Causal inference for cloud computing.

  • Wojciech Samek (TU Berlin) – Explainable AI

  • Adam Dziedzic (CISPA Helmholtz Center) – Secure and trustworthy Machine Learning

  • Randall Balestriero (Brown University / Meta AI Research) – Self-supervised learning

  • (More speakers to be announced soon)

 

Important Deadlines:

  • Early Bird Application: March 8, 2026 (AoE)

  • Regular Application: April 19, 2026 (AoE)

 

The event is organized by Jagiellonian University, the ML in PL Association, GMUM, IDEAS Research Institute, and ELLIS Unit Warsaw. It is designed for PhD students, research-oriented Master's students, and early-career researchers interested in the foundations of trustworthy AI.

As part of this announcement, we are offering a 10% discount on the registration fee for participants who use the code below. The discount applies in addition to any current rate, including the Early Bird fee.

Discount code: MLSS-RS2026-NETWORK

 

Apply here: https://mlss2026.mlinpl.org/

Contact: mlss@mlinpl.org

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