Language Model Agnostic Gray-Box Adversarial Attack on Image Captioning
Author:
Affiliation:
1. Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia
2. Center for Research in Computer Vision (CRCV), University of Central Florida, Orlando, FL, USA
Funder
Australian Research Council (ARC) Discovery
Defense Advanced Research Projects Agency
Office of National Intelligence, National Intelligence Post-Doctoral
Australian Government
Australian Research Council Future Fellowship Award
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
https://ieeexplore.ieee.org/ielam/10206/9970396/9970367-aam.pdf
Reference68 articles.
1. Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables
2. Crafting adversarial input sequences for recurrent neural networks
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5. Microsoft COCO: Common objects in context;lin;Proc ECCV,2014
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