STAMM-2026

2nd International Workshop on Security and Truth in the Era of AI-Generated Media Manipulation

In Conjunction with 40th AINA-2026 Conference

Victoria University of Wellington, New Zealand

April 8 to April 10, 2026

Call For Papers

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As artificial intelligence continues to evolve, its impact on the media landscape has become both transformative and concerning. The ability to manipulate and generate synthetic content at scale has given rise to an era of widespread information disorder, where the authenticity of text, images, and videos is frequently called into question. From deepfakes to AI-generated misinformation, media manipulation presents a pressing global challenge that undermines trust in communication and fuels disinformation campaigns. This workshop focuses on the technological solutions needed to combat these threats and safeguard the integrity of information in the digital age.

STAMM-2026 aims to bring together experts from academia, industry, and research to discuss the latest advancements in AI technology addressing the detection, prevention, and mitigation of media manipulation. The workshop will explore how AI can act both as a catalyst for information disorder and as a solution to its most critical challenges. The event will provide a forum for the exchange of ideas, fostering the development of novel technologies that can restore trust in digital content and protect against AI-driven misinformation.

We invite research contributions that lie at the intersection of AI, media manipulation, and information disorder. Our focus is on solutions that leverage AI to detect manipulated content, defend against adversarial AI techniques, and ensure the authenticity of media within an increasingly fragmented information ecosystem.

Topics

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AI-driven media manipulation detection and prevention systems
Deepfakes: creation, detection, and mitigation technologies
Multimodal AI approaches for detecting manipulated text, images, and video
Real-Time Detection of Generative AI Manipulated Media
Adversarial AI: attack vectors, security challenges, and defense mechanisms
AI-based content verification, validation, fact-checking, and authentication tools
Quantum computing solutions for enhancing media integrity
Generative Adversarial Networks (GANs) for Media Creation and Security
Blockchain technology for securing digital media authenticity
Federated learning for decentralized detection of manipulated content
Machine learning models for detecting AI-generated misinformation
Advanced natural language processing (NLP) techniques for detecting fake news and misinformation
AI-based image and video forensics for media authenticity verification
Computer vision methods for identifying synthetic and manipulated visuals
Edge computing solutions for distributed AI-based content validation and media integrity
Neural networks for cross-modal detection of manipulated media
Explainable AI methods for transparency in media verification processes
Sentiment analysis for detecting fake news and deceptive content

Important Dates

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Paper Submission Deadline: November 15, 2025
Author Notification: January 10, 2026
Author Registration: January 25, 2026
Final Manuscript: January 25, 2026

Paper Submission Guideline

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Authors should submit original research, ensuring that the manuscripts are formatted in accordance with the AINA-2026 guidelines.

"Authors should submit a paper to the main conference and workshops with a maximum of 12 pages in length, including all figures, tables, and references. However, authors can add up to 2 extra pages with the appropriate fee payment."

Please visit the following website: AINA-2026 Submission Guideline.

All accepted papers will be included in the conference proceedings of Lecture Notes in Data Engineering and Communication Technologies series published by Springer.

Indexing: The books of LNDECT series are indexed by EI and SCOPUS.

Please do follow the announcement on the AINA 2026 website.

Organization Team

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