Jinhyeok Jang*

Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias

"Public datasets play a crucial role in advancing data-centric AI, yet they remain vulnerable to illicit uses. This paper presents ‘undercover bias,’ a novel dataset watermarking method that can reliably identify and verify unauthorized data usage. Our approach is inspired by an observation that tra…