A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images-Reference-Cited by-同舟云学术

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images

Published:2021-07-11 Issue: Volume: Page:
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Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Anelli Vito Walter¹,Deldjoo Yashar¹,Di Noia Tommaso¹,Malitesta Daniele¹,Merra Felice Antonio¹

Affiliation:

1. Polytechnic University of Bari, Bari, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462848

Reference58 articles.

1. Evasion Attacks against Machine Learning at Test Time

2. Yuanjiang Cao Xiaocong Chen Lina Yao Xianzhi Wang and Wei Emma Zhang. 2020. Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. In SIGIR. ACM 1669--1672. Yuanjiang Cao Xiaocong Chen Lina Yao Xianzhi Wang and Wei Emma Zhang. 2020. Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. In SIGIR. ACM 1669--1672.

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