1st International Workshop on Fortifying Networks with Trustworthy AI (F-NetAI)
in conjunction with IEEE PerCom 2025, March 17 – 21, 2025, Washington DC, USA (Walter E. Washington Convention Center)
in conjunction with IEEE PerCom 2025, March 17 – 21, 2025, Washington DC, USA (Walter E. Washington Convention Center)
The deadline for paper submission has been extended to December 01, 2024.
We are thrilled to welcome you to the F-NetAI 2025: The 1st International Workshop on Fortifying Networks with Trustworthy AI (F-NetAI), held in conjunction with IEEE PerCom 2025. This exciting workshop addresses the critical and timely need for Trustworthy Artificial Intelligence (AI) in the landscape of Network Communication, Computing, Applications, and Security.
As AI becomes ever more central to optimizing network performance and detecting threats, ensuring its trustworthiness is paramount. F-NetAI 2025 provides a forum for researchers, practitioners, and industry leaders to explore this crucial concept.
We invite you to engage in share cutting-edge research and collaborate on solutions that will fortify networks with trustworthy AI. Together, we can shape the future of secure and reliable AI-powered networks for Cloud, Fog, Edge, and Distributed Computing environments.
Workshop papers will be included and indexed in the IEEE digital library (Xplore)
Contact: If you have any questions, please send us an email to: ieeefnetai@gmail.com
Accepted papers will be published in IEEE Xplore.
Importance Dates:
· Paper submission deadline: December 01, 2024
· Paper notification: January 08, 2025
· Camera Ready Deadline: February 2, 2025
Paper Submission and Review Process:
· Originality: Submissions must be original and not currently under consideration elsewhere.
· Formatting: Papers must be submitted in electronic PDF format, adhering to the IEEE LaTeX or Microsoft Word templates.
· Length: 6 pages for technical content (10pt font, 2-column format), including figures, tables, and references.
· Review Process: Rigorous double-blind review. Authors are expected to anonymize submissions to ensure fairness.
Submission link (EasyChair): https://easychair.org/my/conference?conf=percom2025
Topic of interest: The workshop will address the growing need for Trustworthy Artificial Intelligence (AI) in Network Communication, Computing, Applications, and Security of Cloud, Fog, Edge, and Distributed Computing environments. As AI plays an increasingly central role in optimizing network performance and detecting threats, concerns regarding its trustworthiness come to the forefront. The accepted papers will be published in IEEE Xplore.
The workshop will explore a range of technical issues related to trustworthy AI in networks, including (but not limited to):
Explainability and Interpretability of AI models: How can we understand the decision-making process of AI models, particularly those based on deep learning and foundation models, used for network traffic analysis, intrusion detection, and other security functions? How can we make these models more transparent to foster trust and facilitate debugging within the network communication and computing environment?
Bias and Fairness in AI-powered Network Management: As AI models become more complex, including Generative AI models, how do we ensure they are fair and unbiased in network management tasks such as resource allocation or anomaly detection? Can these models discriminate against specific types of users or traffic potentially impacting network security?
Data Security and Privacy in AI-driven Networks Computing: How can we ensure the security of sensitive data used to train and operate network AI models, especially when considering the potential for data poisoning attacks? How can we protect user privacy while leveraging AI for network functionalities, particularly when utilizing zero/one-shot learning techniques that may require less data?
Robustness and Vulnerability of AI Models in Network Computing: How can we make AI models deployed for network computing tasks and applications resilient to adversarial attacks, including those specifically crafted to exploit vulnerabilities in Generative AI models? How can we detect and mitigate potential vulnerabilities that could disrupt network operations or compromise data security?
Generative AI and Foundation Models for Security and Networking: Generative AI models capable of creating realistic data can be misused for malicious purposes. How can we secure these models to prevent them from being used to generate adversarial examples or other forms of network attacks? Can foundation models, which act as the backbone for various AI applications, be secured to prevent exploitation across different functionalities? How can techniques like adversarial training and explainability methods be leveraged to improve the robustness and transparency of Generative AI models used in network security applications?
Human-in-the-Loop AI for Network Management with Zero/One-Shot Learning: How can we best integrate human expertise with AI algorithms to create a collaborative environment for network management and security, especially when utilizing zero/one-shot learning techniques that may necessitate human guidance? How can human oversight address potential biases or vulnerabilities in AI models?
Case Studies and Real-World Applications: Showcasing successful case studies of trustworthy AI implementations in pervasive network computing or security operations. Fostering discussions on the practical challenges and best practices for deploying trustworthy AI solutions in real-world network environments.
F-NetAI: 1st International Workshop on Fortifying Networks with Trustworthy AI invites industry leaders, technical experts, and researchers to contribute to our program by presenting their knowledge and experience!
Industrial Speakers:
F-NetAI 2025 seeks presentations from industry professionals working on the cutting edge of Trustworthy AI in Network Communication, Computing, Applications, and Security. Share real-world case studies, practical insights, and industry best practices for building and deploying trustworthy AI solutions in Cloud, Fog, Edge, and Distributed Computing environments.
Tutorials:
Do you have expertise in a specific area of Trustworthy AI or its application within networks? We invite proposals for in-depth tutorials that will equip participants with the knowledge and skills to implement trustworthy AI solutions in their work.
Keynote Speaker:
We are seeking a visionary leader to deliver a captivating keynote address that sets the stage for the workshop. The ideal candidate will be a prominent figure in the field of Trustworthy AI or Network Security, with a deep understanding of the challenges and opportunities presented by the intersection of these areas.
Benefits of Participating:
Share your expertise with a global audience of researchers, practitioners, and industry leaders.
Gain valuable exposure for your organization.
Network with peers and potential collaborators.
Contribute to shaping the future of secure and reliable AI-powered networks.
Submission Guidelines:
Please submit a proposal that includes the following information using the signup form:
Speaker name(s), affiliation(s), and contact information
Title of your presentation/tutorial
A brief description of your presentation/tutorial content (250 words)
For tutorials, please also specify the target audience and learning objectives
Submission Deadline: November 30, 2024
Selection Criteria:
Proposals will be evaluated based on the following criteria:
Relevance to the workshop theme
Originality and significance of the content
Clarity and quality of the proposal
Speaker's expertise and experience (for industrial speakers and keynote speaker)
We look forward to receiving your submissions!
Please note: IEEE F-NetAI 2025 workshop will take place in conjunction with IEEE PerCom 2025 conference. This provides a unique opportunity to share your knowledge with a wider audience and engage with a diverse community of researchers and practitioners. The IEEE (Institute of Electrical and Electronics Engineers) is the world's largest technical professional organization for the advancement of technology.
Please keep in mind, you may need to contact your company’s Legal Dept. to review and sign off on your presentation content.