Workshop on Artwork Security and Provenance in the Age of AI
May 21, 2026 San Francisco, CA
Co-located with the 47th IEEE Symposium on Security and Privacy (IEEE S&P)
Generative AI systems have transformed how images, music, video, and text are produced and consumed, but they also create unprecedented risks for artists and creative industries. Large-scale ingestion of copyrighted works by AI models has intensified concerns about consent, attribution, compensation, and creative control. These practices raise core issues of security, privacy, provenance, and trust, and demand rigorous, interdisciplinary solutions.
ArtSec is a dedicated venue for the security community to address these challenges with technical depth and cross-domain relevance. The workshop emphasizes: (1) technical defenses (imperceptible perturbations, watermarking/fingerprinting, provenance tracing, auditing and detection, dataset governance and unlearning, AI-generated content detection), (2) measurement and evaluation (benchmarks, redteaming, robustness analyses), and (3) deployment and policy translation (legal-technical frameworks, industry adoption paths, and standards).
Jian Liu University of Georgia
Shawn Shan Dartmouth College
Emily Wenger Duke University
Ben Y. Zhao University of Chicago
Yoshi Kohno Georgetown University
Howard Singer New York University
Sarah Andersen Illustrator and Cartoonist
Benn Jordan Composer and Electronic Musician
Pete Kirtley Songwriter and Music Producer
To be announced
For questions, please contact: artsec26@sp.ieee-security.org