LDP-Slicing: Local Differential Privacy for Images via Randomized Bit-Plane Slicing 事件

LDP-Slicing: Local Differential Privacy for Images via Randomized Bit-Plane Slicing arXiv:2603.03711v3 Announce Type: replace Abstract: Local Differential Privacy (LDP) is the gold standard trust model for privacy-preserving machine learning by guaranteeing privacy at the data source. However, its application to image data has long been considered impractical due to the high dimensionality of pixel space. Canonical LDP mechanisms are designed for low-dimensional data, resulting in severe utilit