Open AccessZQBA: A Zero-Query, Boosted Ambush Adversarial Attack on Image Retrieval
Author(s) -
Aarnav Sawant,
Tyler Giallanza
Publication year - 2022
Publication title -
international journal on cybernetics and informatics/international journal of cybernetics and informatics
Language(s) - English
Resource type - Journals
eISSN - 2320-8430
pISSN - 2277-548X
DOI - 10.5121/ijci.2022.110404
Subject(s) - computer science , robustness (evolution) , image retrieval , content based image retrieval , adversarial system , image (mathematics) , relevance feedback , relevance (law) , information retrieval , artificial intelligence , pattern recognition (psychology) , data mining , biochemistry , chemistry , gene , political science , law