Learning Transferable Perturbations for Image Captioning

Present studies have discovered that state-of-the-art deep learning models can be attacked by small but well-designed perturbations. Existing attack algorithms for the image captioning task is time-consuming, and their generated adversarial examples cannot transfer well to other models. To generate...

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Veröffentlicht in:	ACM transactions on multimedia computing communications and applications 2022-05, Vol.18 (2), p.1-18
Hauptverfasser:	Wu, Hanjie, Liu, Yongtuo, Cai, Hongmin, He, Shengfeng
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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