Work

Towards a Privacy-by-Design Framework for ML-Enabled Systems

Year: 2025

Type: conference-paper

Source: IEEE/ACM International Conference on AI Engineering – Software Engineering for AI (CAIN)

DOI: 10.1109/cain66642.2025.00037

Author: Yorick Sens

Institution: Ruhr University Bochum

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4411337581

FWCI: 1.059

Cites: 34

Cited by: 1

Related to: 10