Work

Use Privacy in Data-Driven Systems

Year: 2017

Type: conference-paper

Source: ACM SIGSAC Conference on Computer and Communications Security (CCS)

DOI: 10.1145/3133956.3134097

Authors: Anupam Datta, Matthew Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen

Institution: Carnegie Mellon University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Air Force Office of Scientific Research

Awards: G4559154325, SaTC: CORE: Large: Collaborative: Accountable Information Use: Privacy and Fairness in Decision-Making Systems

OpenAlex ID: W2963742154

FWCI: 2.619

Cites: 42

Cited by: 55

Related to: 10