CONF-SPML 2026

Organizer

University of Portsmouth

Workshop Chair

Dr. Stavros Shiaeles

Associate Professor in University of Portsmouth

Personal Bio:

Dr. Stavros Shiaeles is a distinguished figure in the field of cybersecurity, known for his extensive research experience that spans several critical areas within the domain. His work has notably contributed to the advancement of knowledge in network security, malware detection, and the development of robust cybersecurity measures against advanced persistent threats (APTs). Dr. Shiaeles has a strong publication record, featuring in respected journals and conferences, underscoring his commitment to advancing the state of cybersecurity through rigorous research. In addition to his academic prowess, Dr. Shiaeles holds several professional certifications that attest to his expertise and practical skills in cybersecurity. These certifications likely include recognized credentials such as Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), and perhaps others that demonstrate his comprehensive understanding of both the theoretical and practical aspects of securing digital infrastructures against increasingly sophisticated cyber threats. This blend of academic insight and certified expertise positions Dr. Shiaeles as a leading authority in cybersecurity, capable of contributing significantly to both scholarly and applied aspects of the field.

Workshop Committee Members

Dr. Katerina Kanta, University of Portsmouth, Anil.fernando@strath.ac.uk

Dr. Gueltoum Bendiab, University of Frères Mentouri, Thisarani.atulugama@strath.ac.uk

Background

The advent of deepfake technology, driven by advancements in artificial intelligence, has revolutionized how digital media can be manipulated. Using techniques like generative adversarial networks (GANs), deepfakes can convincingly alter images, videos, and audio, making it increasingly difficult to distinguish between authentic and fabricated content. As these technologies become more sophisticated and accessible, they pose significant challenges to the integrity of media across various domains, including journalism, law enforcement, and personal privacy. Understanding and detecting deepfakes is critical in maintaining trust in digital media and protecting against the spread of misinformation.

Keywords

  • Deepfake Detection
  • Digital Forensics
  • AI Manipulation
  • Image Authentication
  • Media Integrity
  • Deep Learning Algorithms

Goal/Rationale:

The primary challenge presented by deepfakes lies in their potential for misuse—spreading false information, defaming individuals, and compromising security systems. The goal of this workshop is to address these issues by equipping participants with the tools and knowledge necessary to detect and counteract deepfake content. Recent advances in AI and digital forensics have led to the development of sophisticated detection techniques, but as deepfake technology evolves, so too must our methods of identifying and mitigating its impact.

This workshop will explore the latest techniques in deepfake detection, offering insights into how these methods can be applied across different media types. Participants will gain a comprehensive understanding of both the technical aspects of deepfake creation and the practical tools available for their detection. By the end of the workshop, participants will be better prepared to tackle the challenges posed by deepfakes in their respective fields, whether in media, law enforcement, cybersecurity, or beyond.

Scope and Information for Participants

This workshop will cover a wide range of topics within the scope of deepfake detection, including:

  • Introduction to Deepfakes: The underlying AI technologies, including GANs, used to create deepfakes.
  • Digital Forensics: Techniques and principles for verifying the authenticity of digital media.
  • Detection Tools: Demonstrations and hands-on experience with the latest software for identifying deepfakes.
  • Legal and Ethical Considerations: The broader implications of deepfakes on privacy, ethics, and legal frameworks.
  • Case Studies: Analysis of real-world applications and instances of deepfake technology.

We encourage professionals, researchers, and students in fields related to digital media, cybersecurity, and AI to participate. The workshop will provide valuable knowledge and practical skills, regardless of your current level of expertise in deepfake technology.

Publication

Accepted papers of this workshop will be published in IET Conference Proceedings (Online ISSN: 2732-4494) or Applied and Computational Engineering (Print ISSN: 2755-2721), and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Google Scholar, CNKI , and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

Venue

Buckingham Building, School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK

VISA

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