Panels
Beyond the Hype: The Rise and Impact of Edge Intelligence
Moderators:
- Feras M. Awaysheh, University of Tartu, Delat research center, Tartu, Estonia
- Flavia C. Delicato, Fluminense Federal University, Brazil
Panelists:
- Paulo Pires, Dell Research Office and Fluminense Federal University, Brazil
- Deepak Puthal, Khalifa University, UAE
- Giancarlo Fortino, University of Calabria, Italy
Abstract:
The digital world is rapidly evolving, and with it comes a surge in the volume and complexity of data being generated. Traditional centralized computing systems often grapple with latency issues and resource constraints when handling such vast datasets, not to mention data privacy. Enter Edge Intelligence, a paradigm shift towards processing data closer to its source, ensuring faster response times, efficient resource utilization, and data privacy. This panel discussion brings together experts to dissect the myriad facets of edge intelligence. Namely, this panel discussion will host four experts to provide insights on deploying a reliable and privacy-preserving edge intelligence solution from leading academic practitioners and industry partners. Discussions will also encompass challenges in implementing edge intelligence, including data security concerns, infrastructure demands, and seamless integration with the existing Edge-fog-cloud continuum. This discussion will offer attendees a deep dive into the future potential of edge intelligence, its scalability, and how it is poised to revolutionize data-driven applications.
Security of LLMs: Protecting the Future of LLMs
Moderator:
- Moayad Aloqaily, MBZUAI, UAE
Panelists:
- Mohsen Guizani, MBZUAI, UAE
- Ernesto Damiani, Khalifah University, UAE
- Ian F. Akyildiz, TII, UAE
- Saed Alrabaee, UAEU, UAE
Abstract:
The proliferation of Large Language Models (LLMs) has revolutionized natural language processing, enabling breakthroughs in various domains. However, this transformative technology also presents significant security challenges. This panel aims to explore the multifaceted issue of LLM security, delving into the risks, vulnerabilities, and countermeasures essential for safeguarding the future of LLMs.
The panel will bring together experts from academia, industry, and cybersecurity to engage in a comprehensive discussion on the security implications of LLMs. Key topics to be covered include:
- Threat Landscape: Understanding the diverse threats that LLMs face, such as misinformation generation, deepfake content, adversarial attacks, and data privacy breaches.
- Vulnerabilities: Identifying the inherent weaknesses in LLMs, such as biases, explainability issues, and the potential for unethical use.
- Ethical Considerations: Discussing the ethical dimensions of LLM security and the responsibility of developers, users, and policymakers in ensuring responsible AI usage.
- Countermeasures: Exploring the strategies and technologies for enhancing the security of LLMs, including robustness testing, model interpretability, and responsible AI guidelines.
The panel's insights will be valuable for researchers, policymakers, and industry professionals seeking to secure the continued development and deployment of LLMs while upholding ethical and responsible AI practices. Join us for a thought-provoking discussion on the security of LLMs, as we work collectively to protect the future of this transformative technology.