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IWCS 2025 : International Cybersecurity Workshop: Artificial Intelligence Interfaces

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Link: https://cyberconfedu.com/call-for-papers-workshop-internacional-de-ciberseguranca-interfaces-da-inteligencia-artificial/
 
When Nov 29, 2025 - Nov 29, 2025
Where Virtual Conference
Submission Deadline Nov 18, 2025
Notification Due Nov 22, 2025
Final Version Due Nov 26, 2025
Categories    artificial intelligence   cybersecurity   computer security   education
 

Call For Papers

Proceedings of the International Conference on Cybersecurity and Digital Education (CyberConfEdu)

Presentation and Scope
Cybersecurity and Artificial Intelligence (AI) are two rapidly evolving fields with an increasingly critical intersection. While AI offers powerful tools to enhance defenses and threat detection, it also creates new attack vectors and vulnerabilities that need to be carefully considered.

The International Cybersecurity Workshop: Interfaces of Artificial Intelligence (IWCS 2025-S2) invites researchers, academics, professionals, and students to submit original, unpublished research papers exploring the complex relationship between Cybersecurity and Artificial Intelligence. Our goal is to foster discussion on the advancements, challenges, and ethical and practical implications of this interface.

Topics of Interest
CyberConfEdu accepts submissions on a wide range of topics, including but not limited to:

AI for Cybersecurity
Intrusion detection and prevention based on AI/Machine Learning.
Malware analysis and botnet detection using AI.
AI models for incident response and recovery.
Security and operations automation (SecOps) with AI.
Predictive analysis of security risks and vulnerabilities.
AI for network traffic analysis and user behavior (UEBA).
Cybersecurity for AI
Adversarial attacks against Machine Learning models and defenses.
Ensuring the integrity and confidentiality of AI training data.
Robustness and resilience of AI systems against manipulation and deception.
Differential privacy and privacy preservation techniques in AI.
Security of federated learning .
Interfaces and Ethical Implications
Ethical and legal implications of using AI in cyber defense and cyberattacks.
Transparency and explainability in AI-based security systems.
Security challenges of Large Language Models (LLMs) and Generative AI.
Emerging threats of cyberattacks to AI ecosystems.
Instructions for Submission
Submissions should be made through the CyberConfEdu OJS system – Proceedings of the International Conference on Cybersecurity and Digital Education ,

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