ARRA: Absolute-Relative Ranking Attack against Image Retrieval-Reference-Cited by-同舟云学术

ARRA: Absolute-Relative Ranking Attack against Image Retrieval

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Li Siyuan¹,Xu Xing¹,Zhou Zailei¹,Yang Yang²,Wang Guoqing¹,Shen Heng Tao³

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

2. University of Electronic Science and Technology of China & Institute of Electronic and Information Engineering of UESTC, Chengdu, China

3. University of Electronic Science and Technology of China & Peng Cheng Laboratory, Chengdu, China

Funder

Dongguan Songshan Lake Introduction Program of Leading Innovative and Entrepreneurial Talents

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548138

Reference41 articles.

1. Abdullah Al-Dujaili and Una-May O'Reilly . 2020 . Sign Bits Are All You Need for Black-Box Attacks. In 8th International Conference on Learning Representations, ICLR 2020. Abdullah Al-Dujaili and Una-May O'Reilly. 2020. Sign Bits Are All You Need for Black-Box Attacks. In 8th International Conference on Learning Representations, ICLR 2020.

2. Maksym Andriushchenko , Francesco Croce , Nicolas Flammarion , and Matthias Hein . 2020 . Square Attack: A Query-Efficient Black-Box Adversarial Attack via Random Search. In Computer Vision - ECCV 2020 - 16th European Conference (Lecture Notes in Computer Science , Vol. 12368). 484-- 501 . Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, and Matthias Hein. 2020. Square Attack: A Query-Efficient Black-Box Adversarial Attack via Random Search. In Computer Vision - ECCV 2020 - 16th European Conference (Lecture Notes in Computer Science, Vol. 12368). 484--501.

3. Nicholas Carlini and David A. Wagner . 2017 . Towards Evaluating the Robustness of Neural Networks. In 2017 IEEE Symposium on Security and Privacy, SP 2017 . 39--57. Nicholas Carlini and David A. Wagner. 2017. Towards Evaluating the Robustness of Neural Networks. In 2017 IEEE Symposium on Security and Privacy, SP 2017. 39--57.

4. ZOO

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