The Fourth Intelligent Cybersecurity Conference (ICSC2024)

Hybrid Event

https://www.icsc-conference.org/2024/

17–20 September, 2024 | Valencia, Spain.

Technically Co-Sponsored by IEEE Spain Section

ICSC 2024 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 between 4 to 6 pages.

Important Dates:

• Paper submission deadline: July 5 2024 (Firm and Final)
• Notification of acceptance: July  25, 2024
• Camera-ready Submission: August 5, 2024

Contact:

Please send any inquiry on ICSC to: info@iccns-conference.org

While large language models (LLMs) offer to become a viable alternative to traditional rule-based data-to-text (D2T) natural language generation (NLG), they still suffer from well-known neural model issues, such as lack of controllability and risk of producing harmful text. There are many potential solutions to this problem up for discussion.

The Practical D2T workshop at INLG 2024 aims to build a space for researchers to discuss and present innovative work on D2T systems using LLMs. Building upon the 2023 edition’s hackathon, Practical D2T 2024 opens up a broader range of activities, including a special track for neuro-symbolic D2T approaches and a shared task in D2T evaluation focused on semantic accuracy.

Website: https://practicald2t.github.io/

Practical D2T 2023 at INLG 2023: https://practicald2t.github.io/2023/ 

Workshop Topic and Content

Practical D2T 2024 will be a full-day in-person-only event. We welcome contributions from both original unpublished work and non-archival submissions, in the form of long (8 pages) or short (4 pages) papers, on topics including but not limited to:

– Design, implementation and evaluation of LLM-assisted D2T systems

– Cross-domain adaption of LLMs for D2T

– User perceptions and acceptance of LLM-generated text in D2T

– Bias, fairness and red-teaming issues in LLM-assisted D2T systems

– Leveraging LLMs for D2T in low-resource languages and domains

– Error analysis and debugging techniques for LLM-assisted D2T

– Human-in-the-loop approaches for improving LLM-assisted D2T

– Comparison between LLM-assisted D2T and traditional symbolic approaches

Special Track: Neuro-Symbolic D2T

Research is currently seeing a renewed interest in developing systems combining neural and symbolic approaches to improve explainability and reduce dependence on training data. Practical D2T 2024 will feature a special track on neuro-symbolic approaches to D2T. Submissions for papers in the special track follow the same requirements and procedure as the main workshop submissions.

Shared task: Improving Semantic Accuracy in LLM-assisted D2T

This year will feature a shared task on improving semantic accuracy of D2T systems. Participants will build an LLM-assisted D2T system to generate textual reports from various domains, such as weather forecasting, product descriptions or sports reports. We will provide testing data obtained from public APIs, to limit potential previous exposure to the used LLMs. 

We encourage participants to focus on system robustness and objective evaluation, rather than metrics scores. Because of this, participants will receive an initial evaluation script, that they are encouraged to change/improve. All submitted system’s outputs will be evaluated against every submitted custom evaluation, and correlated with human ratings.

The system reaching the highest correlation with humans will be declared winner of the competition. Results and participants’ system descriptions will be featured in the workshop proceedings.

For more info, visit the workshop website: https://practicald2t.github.io/pages/cfp 

Important dates
Note: all deadlines are 23:59 UTC-12.

• Evaluation script and data release for known domains (shared task)  24 June

• Regular paper submission (main & special track, archival & non-archival): 22 July

• Known domains system output submission & surprise domain data release: 29 July

• Surprise domain system outputs submission: 5 August

• System description submission (shared task): 12 August

• Notification of acceptance (main, special track and shared task):  19 August

• Camera-ready (main, special track and shared task):  28 August

• Workshop: 23/24 September (to be announced)

Contacts and more info:

Find detailed information about submission, deadlines and contacts on the official Practical D2T 2024 website: https://practicald2t.github.io/ 

For any query, contact the organiser at d2t2024@googlegroups.com 

If you have any problem with the above mail group, contact balloccu@ufal.mff.cuni.cz 

Organisers

Simone Balloccu, Ondřej Dušek, Patrícia Schmidtová, Zdeněk Kasner, Kristýna Onderková, Ondřej Plátek, Mateusz Lango, Ondřej Dušek – Charles University (CZ)

Ehud Reiter – University of Aberdeen (UK)

Lucie Flek – University of Bonn (DE)

Simon Mille – ADAPT Centre (UK)

Dimitra Gkatzia – Edinburgh Napier University (UK)