Work

Towards Robust, Explainable, and Privacy-Friendly Sybil Detection

Year: 2024

Type: conference-paper

DOI: 10.1145/3689932.3694759

Authors: Christian Bungartz, Felix Boes, Michael Meier, Marc Ohm

Institutions: University of Bonn, Lamarr Institute for Machine Learning and Artificial Intelligence, Fraunhofer Institute for Communication, Information Processing and Ergonomics

Language: English

Topic: Spam and Phishing Detection

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: closed

OpenAlex ID: W4404612144

FWCI:

Cites: 22

Cited by:

Related to: 10