Work

TK ‐ SMF : Top‐K Semantic Mask Fusion With Dynamic Budget and Recovery Against Adversarial Patch Attacks Under Semantic Fragmentation in Vision Models

Year: 2026

Type: article

Source: Concurrency and Computation Practice and Experience

DOI: 10.1002/cpe.70908

Authors: İbrahim Yaylalı, Alper Kılıç

Institutions: Aselsan (Turkey), Konya Technical University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7204657339

FWCI:

Cites: 46

Cited by:

Related to: 10