##ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES. **[See Section 3.18 for defined terms](rules#18.-terms)** *The Competition named below is a skills-based competition to promote and further the field of data science. You must register via the Competition Website to enter. To enter the Competition, you must agree to these Official Competition Rules, which incorporate by reference the provisions and content of the Competition Website and any Specific Competition Rules herein (collectively, the "Rules"). Please read these Rules carefully before entry to ensure you understand and agree. You further agree that Submission in the Competition constitutes agreement to these Rules. You may not submit to the Competition and are not eligible to receive the prizes associated with this Competition unless you agree to these Rules. These Rules form a binding legal agreement between you and the Competition Sponsor with respect to the Competition. Your competition Submissions must conform to the requirements stated on the Competition Website. Your Submissions will be scored based on the evaluation metric described on the Competition Website. Subject to compliance with the Competition Rules, Prizes, if any, will be awarded to Participants with the best scores, based on the merits of the data science models submitted. See below for the complete Competition Rules.* **You cannot sign up to Kaggle from multiple accounts and therefore you cannot enter or submit from multiple accounts.** ###1. COMPETITION-SPECIFIC RULES In addition to the provisions of the General Competition Rules below, you understand and agree to these Competition-Specific Rules required by the Competition Sponsor: A. Reproducibility Requirements To be eligible for the official workshop ranking, by June 29, 2026, each team must: 1. share full source code; 2. ensure code reproducibility; 3. provide documentation specifying: • Model architecture • Training protocol • Hardware used • Training time Organizers reserve the right to reproduce results independently. Failure to reproduce results may result in ranking revision or disqualification. B. Eligibility for Final Ranking A team is eligible for the official workshop ranking only if, by June 29, 2026, it completes one of the following: 1) Submit a technical report directly to the workshop email deepfake.icann26work@gmail.com, including methodology and code (following the official LaTeX template); 2) Submit a full paper to the main conference (which will forward it to workshop organizers) and share the code. In addition, registration to the main conference of at least one team participant is required. The Kaggle leaderboard participation alone is insufficient. C. Presentation Policy Accepted conference papers will be granted presentation slots at the workshop. Presentation of technical reports is not guaranteed and will depend on submission volume. Winners will be asked to present their solutions during the workshop. Further information will be communicated at later stages via email by the organizers. D. Tie-Breaking Rules In case of identical final scores, the following rules will be taken into account: • Higher private leaderboard score prevails; • Lower model complexity (if applicable); • Earlier submission timestamp; • Quality of the technical report/paper. For matters not covered by this regulation, the organizers reserve the final decision. ####2. SUBMISSION LIMITS a. You may submit a maximum of three (3) Submissions per day. b. You may select up to three (3) Final Submissions for judging. ####3. COMPETITION TIMELINE a. Timeline The Challenge will follow the schedule below: • Competition Launch: March 9th, 2026; • Kaggle Submission Deadline: May 29th, 2026; • Public Leaderboard Announcement: June 4th 2026; • Paper Deadline: June 6th, 2026; • Final Results Announcement: at the Workshop. A winner will be declared during the workshop session. ####4. COMPETITION DATA You may access and use the Competition Data only for participating in the Competition and on Kaggle.com forums. The Competition Sponsor reserves the right to disqualify any Participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.] You agree to use reasonable and suitable measures to prevent persons who have not formally agreed to these Rules from gaining access to the Competition Data. You agree not to transmit, duplicate, publish, redistribute or otherwise provide or make available the Competition Data to any party not participating in the Competition. You agree to notify Kaggle immediately upon learning of any possible unauthorized transmission of or unauthorized access to the Competition Data and agree to work with Kaggle to rectify any unauthorized transmission or access. ####5. EXTERNAL DATA AND TOOLS You may not use data other than the Competition Data (“External Data”) to develop and test your Submissions. Ethical AI and Responsible Research: The challenge promotes transparent and responsible AI research. The competition primarily represents an opportunity to share valuable ideas and foster together the scientific community. Therefore, participants are expected to: avoid plagiarism, avoid model stealing or reverse engineering, and respect data confidentiality. ####6. GOVERNING LAW Unless otherwise provided in the Competition Specific Rules above, all claims arising out of or relating to these Rules will be governed by California law, excluding its conflict of laws rules, and will be litigated exclusively in the Federal or State courts of Santa Clara County, California, USA. The parties consent to personal jurisdiction in those courts. If any provision of these Rules is held to be invalid or unenforceable, all remaining provisions of the Rules will remain in full force and effect.