Work

Adversarial Patch Robustness against Occlusion: A case study

Year: 2025

Type: conference-paper

Abstract: 1

DOI: 10.1145/3709021.3737664

Authors: Niklas Bunzel, Erik Gelbing

Institution: Fraunhofer Institute for Secure Information Technology

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4413060819

FWCI:

Cites: 35

Cited by:

Related to: 10