Semantic deep hiding for robust unlearnable examples

• Main Authors: Meng, Ruohan, Yi, Chenyu, Yu, Yi, Yang, Siyuan, Shen, Bingquan, Kot, Alex C.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Unlearnable examples; Deep hiding
• Online Access: https://hdl.handle.net/10356/180637
• Institution: Nanyang Technological University

Ensuring data privacy and protection has become paramount in the era of deep learning. Unlearnable examples are proposed to mislead the deep learning models and prevent data from unauthorized exploration by adding small perturbations to data. However, such perturbations (e.g., noise, texture, color...