March 27, 2024, 4:46 a.m. | Sihan Shang, Jiancheng Yang, Zhenglong Sun, Pascal Fua

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.17755v1 Announce Type: cross
Abstract: In the realm of healthcare, the challenges of copyright protection and unauthorized third-party misuse are increasingly significant. Traditional methods for data copyright protection are applied prior to data distribution, implying that models trained on these data become uncontrollable. This paper introduces a novel approach, named DataCook, designed to safeguard the copyright of healthcare data during the deployment phase. DataCook operates by "cooking" the raw data before distribution, enabling the development of models that perform normally …

adversarial adversarial examples arxiv copyright copyright protection cs.ai cs.cr cs.cv data examples healthcare healthcare data protection type

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote