PORDE: Explaining Data Poisoning Attacks Through Visual Analytics with Food Delivery App Reviews-Reference-Cited by-同舟云学术

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PORDE: Explaining Data Poisoning Attacks Through Visual Analytics with Food Delivery App Reviews

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:28th International Conference on Intelligent User Interfaces
language:
Short-container-title:

Author:

Lee Hyunmin¹^ORCID,Chun Minki¹^ORCID,Jung Hyunggu²^ORCID

Affiliation:

1. Department of Computer Science and Engineering, University of Seoul, Korea, Republic of

2. Department of Computer Science and Engineering, University of Seoul, Korea, Republic of and Department of Artificial Intelligence, University of Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581754.3584128

Reference27 articles.

1. D³ Data-Driven Documents

2. TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization

3. The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

4. Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml

5. Jim Gao. 2014. Machine Learning Applications for Data Center Optimization. Jim Gao. 2014. Machine Learning Applications for Data Center Optimization.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Creating a bias-free dataset with food delivery app reviews under data poisoning attack;Data in Brief;2024-08

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