Security, Privacy, and Forensics Aspects of AI-generated Multimedia (SPF-MM2024) Workshop

AI-generated media, such as deepfake, synthetic images, etc. is now a reality. There are many open-source and commercial tools available to create almost perfect deepfake videos.

The deepfake methods have matured to the point that it is now possible to create deepfake videos from a single image, such as a profile photo, of a person. Similarly, AI-based synthetic image creation has also advanced at a rapid speed. It is now possible to create very natural-looking artificial images. These AI-generated media have both negative and positive impacts on security and privacy. For example, deepfakes are increasingly used for fake news, hate speech, financial fraud, etc. On the other hand, on a positive note, AI-generated media can be useful for privacy preservation, such as using synthetic images as proxies.

This workshop aims to bring researchers and scientific communities to discuss the pros and cons of AI-generated media on security and privacy. The topics of interest include, but are not limited to:

AI-generated media for financial fraud.
AI-generated media for hate speech.
AI-generated media for creating explicit content.
AI-generated media for fake news.
Privacy preservation using AI-generated media.
Identity theft using AI-generated media.
Methods to detect AI-generated media.
Impact of AI-generated media on society.
Use of AI-generated media on security and privacy education

Date and Time

Important dates and submission instructions

Submission instructions

1. For Author Instructions, please consult the main conference webpage for workshop papers, at:

Paper Submission Instructions

2. For Submissions, please use the following link and select your track as SPF-MM2024:

Track: SPF-MM2024

Important dates

Paper submission: June 5, 2024
Paper review available: June 10, 2024
Notification of acceptance: June 12, 2024
Camera-ready deadline: June 17, 2024

Past Events

Publication

It is expected that the proceedings of the workshop will be published together with the main conference proceedings by IEEE.

Members of the Organising Committee:

1. Priyanka Singh, University of Queensland, Australia
Website: https://researchers.uq.edu.au/researcher/41970
Email: priyanka.singh@uq.edu.au

2. Manoranjan Mohanty, University of Technology Sydney, Australia.
Website: https://profiles.uts.edu.au/Manoranjan.Mohanty
Email: manoranjan.mohanty@uts.edu.au

3. Pradeep Atrey, State University of New York Albany, USA
Website: https://www.cs.albany.edu/~patrey/
Email: patrey@albany.edu

Biographical sketches of the organisers:

Priyanka Singh, University of Queensland, Australia
Priyanka Singh is a lecturer at the University of Queensland, Australia. Prior to this, she worked as the assistant professor at the Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) in Gujarat, India. She had a PhD in image forensics and earned prestigious postdoctoral fellowships from Dartmouth College and University at Albany in USA and Indian Institute of Technology Roorkee in India. Her research areas include cybersecurity and multimedia forensics.

Manoranjan Mohanty, University of Technology Sydney, Australia
Manoranjan is a senior lecturer at the University of Technology Sydney (UTS), Australia. His research interest is on cybersecurity and digital forensics, with a current focus on multimedia security and forensics. Manoranjan received his PhD from the School of Computing, National University of Singapore (NUS), Singapore in 2014. After that, he spent a year as an ERCIM Alain Bensoussan research fellow at SICS Swedish ICT, Sweden, and two years as a research fellow at New York University. Before joining UTS, he was a lecturer in Digital Security at the University of Auckland, New Zealand.

Pradeep K. Atrey, State University of New York Albany, USA
Dr. Pradeep K. Atrey is an Associate Professor in the Department of Computer Science, where he serves as Director of Undergraduate Program. He is also co-director of the Albany Lab for Privacy and Security (ALPS). His research includes multimedia data analytics with a focus on security and privacy issues in application areas such as surveillance, social media, and cloud computing.