Detecting textual adversarial examples through text modification on text classification systems-Reference-Cited by-同舟云学术

Detecting textual adversarial examples through text modification on text classification systems

Published:2023-02-24 Issue:16 Volume:53 Page:19161-19185
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Kwon Hyun^ORCID,Lee Sanghyun

Funder

Hwarang-Dae Research Institute of Korea Military Academy.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03313-w.pdf

Reference40 articles.

1. Schmidhuber J (2015) Deep learning in neural networks: An overview. Neural Netw 61:85–117

2. Simonyan K, Zisserman A (2015) Very deep convolutional networks for large-scale image recognition. In: International Conference on Learning Representations

3. Wu Z, Zhao D, Liang Q, Yu J, Gulati A, Pang R (2021) Dynamic sparsity neural networks for automatic speech recognition. In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp 6014– 6018

4. Otter D W, Medina JR, Kalita JK (2020) A survey of the usages of deep learning for natural language processing. IEEE Trans Neural Netw Learn Syst 32(2):604–624

5. Potluri S, Diedrich C (2016) Accelerated deep neural networks for enhanced intrusion detection system. In: Emerging Technologies and Factory Automation (ETFA), 2016 IEEE 21st International Conference on. IEEE, pp 1–8

Cited by 3 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. Investigating the Limitations of Adversarial Training for Language Models in Realistic Spam Filter Deployment Scenarios;Advances in Information Security, Privacy, and Ethics;2024-06-30

2. An adversarial example attack method based on predicted bounding box adaptive deformation in optical remote sensing images;PeerJ Computer Science;2024-05-28

3. AudioGuard: Speech Recognition System Robust against Optimized Audio Adversarial Examples;Multimedia Tools and Applications;2023-12-23