A detection method against adversarial example attack based on neural network decision boundary and consistency analysis

Authors

Publication Details

Journal
Scientia Sinica Informationis
Published
2025-09-04
DOI
https://doi.org/10.1360/ssi-2025-0205
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A detection method against adversarial example attack based on neural network decision boundary and consistency analysis

Xiaosong Zhang, Xuyang Ding, Ruixia Lang, Ying Xie
Scientia Sinica Informationis
Adversarial Robustness in Machine Learning
article

A detection method against adversarial example attack based on neural network decision boundary and consistency analysis

Xiaosong Zhang, Xuyang Ding, Ruixia Lang, Ying Xie
article en

Abstract

No abstract available for this paper.
Scientia Sinica InformationisVol. 55(11)
Openalex Percentile: Top 88%
Adversarial Robustness in Machine Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A detection method against adversarial example attack based on neural network decision boundary and consistency analysis — Xiaosong Zhang, Xuyang Ding, et al. · Scientia Sinica Informationis (2025) | TGRS Research Map | TGRS