Research on filter-based adversarial feature selection against evasion attacks
With the rapid development and widespread application of machine learning technology, its security has attracted increasing attention, leading to a growing interest in adversarial machine learning.In adversarial scenarios, machine learning techniques are threatened by attacks that manipulate a small...
Saved in:
Main Authors: | Qimeng HUANG, Miaomiao WU, Yun LI |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2023-07-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023140/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fluid volume status detection model for patients with heart failure based on machine learning methods
by: Haozhe Huang, et al.
Published: (2025-01-01) -
Dual-Targeted adversarial example in evasion attack on graph neural networks
by: Hyun Kwon, et al.
Published: (2025-01-01) -
A Survey on Adversarial Attacks for Malware Analysis
by: Kshitiz Aryal, et al.
Published: (2025-01-01) -
Targeted Discrepancy Attacks: Crafting Selective Adversarial Examples in Graph Neural Networks
by: Hyun Kwon, et al.
Published: (2025-01-01) -
Double adversarial attack against license plate recognition system
by: Xianyi CHEN, et al.
Published: (2023-06-01)