5 papers
SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction
Kai Yao, Marc Juarez
Detecting the source model of AI-generated images is a growing accountability problem. AI fingerprinting techniques address this by detecting imperceptible patterns in the images t…
Smudged Fingerprints: A Systematic Evaluation of the Robustness of AI Image Fingerprints
Kai Yao, Marc Juarez
Model fingerprint detection has shown promise to trace the provenance of AI-generated images in forensic applications. However, despite the inherent adversarial nature of these app…
Toward Quantitative Modeling of Cybersecurity Risks Due to AI Misuse
Steve Barrett, Malcolm Murray, Otter Quarks +17
Advanced AI systems offer substantial benefits but also introduce risks. In 2025, AI-enabled cyber offense has emerged as a concrete example. This technical report applies a quanti…
A Crack in the Bark: Leveraging Public Knowledge to Remove Tree-Ring Watermarks
Junhua Lin, Marc Juarez
We present a novel attack specifically designed against Tree-Ring, a watermarking technique for diffusion models known for its high imperceptibility and robustness against removal…
SoK: What Makes Private Learning Unfair?
Kai Yao, Marc Juarez
Differential privacy has emerged as the most studied framework for privacy-preserving machine learning. However, recent studies show that enforcing differential privacy guarantees…