Adversarial Machine Learning for Text

被引：4

作者：

Lee, Daniel ^{[1
]}

Verma, Rakesh ^{[1
]}

机构：

[1] Univ Houston, Houston, TX 77004 USA

来源：

PROCEEDINGS OF THE SIXTH INTERNATIONAL WORKSHOP ON SECURITY AND PRIVACY ANALYTICS (IWSPA'20) | 2020年

关键词：

adversarial examples; adversarial text; neural networks; natural language processing; deep learning;

D O I：

10.1145/3375708.3380551

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this tutorial, we investigate the history, evolution and latest research topics in the area of adversarial machine learning for text data. Both classical attacks on spam filters and more recent attacks on deep learning models for text classification problems will be discussed. We then discuss proposed and potential defenses against these attacks. We conclude with some directions for future research.

引用

下载

页码：33 / 34

页数：2

共 50 条

[31] Supervised contrastive learning for robust text adversarial training
Li, Weidong
Zhao, Bo
An, Yang
Shangguan, Chenhan
Ji, Minzi
Yuan, Anqi
NEURAL COMPUTING & APPLICATIONS, 2023, 35 (10): : 7357 - 7368
[32] Adversarial Representation Learning for Text-to-Image Matching
Sarafianos, Nikolaos
Xu, Xiang
Kakadiaris, Ioannis A.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 5813 - 5823
[33] Adversarial Learning of Semantic Relevance in Text to Image Synthesis
Cha, Miriam
Gwon, Youngjune L.
Kung, H. T.
THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 3272 - 3279
[34] Closeness and uncertainty aware adversarial examples detection in adversarial machine learning
Tuna, Omer Faruk
Catak, Ferhat Ozgur
Eskil, M. Taner
COMPUTERS & ELECTRICAL ENGINEERING, 2022, 101
[35] Textual Adversarial Training of Machine Learning Model for Resistance to Adversarial Examples
Kwon, Hyun
Lee, Sanghyun
SECURITY AND COMMUNICATION NETWORKS, 2022, 2022
[36] The Vulnerability of UAVs: An Adversarial Machine Learning Perspective
Doyle, Michael
Harguess, Joshua
Manville, Keith
Rodriguez, Mikel
GEOSPATIAL INFORMATICS XI, 2021, 11733
[37] Defense strategies for Adversarial Machine Learning: A survey
Bountakas, Panagiotis
Zarras, Apostolis
Lekidis, Alexios
Xenakis, Christos
COMPUTER SCIENCE REVIEW, 2023, 49
[38] Detection of adversarial attacks on machine learning systems
Judah, Matthew
Sierchio, Jen
Planer, Michael
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS V, 2023, 12538
[39] Machine learning uncertainties with adversarial neural networks
Christoph Englert
Peter Galler
Philip Harris
Michael Spannowsky
The European Physical Journal C, 2019, 79
[40] Adversarial Machine Learning Against Digital Watermarking
Quiring, Erwin
Rieck, Konrad
2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2018, : 519 - 523

← 1 2 3 4 5 →