Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Fengyuan Xie

dblp:400/1047 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Security and privacy of machine learning · 100%
Artificial intelligence
1 paper
Autonomous driving · 50% Image recognition and object detection · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Security and privacy of machine learning
adversarial attack
1.012026
NarAdv: Natural-Style Physical Adversarial Attack on Traffic Sign Detection for Autonomous Vehicles · IEEE Trans. Dependable Secur. Comput. 2026
Security and privacy of machine learning › adversarial attack
physical adversarial attack
1.012026
NarAdv: Natural-Style Physical Adversarial Attack on Traffic Sign Detection for Autonomous Vehicles · IEEE Trans. Dependable Secur. Comput. 2026
Robotics › Autonomous driving
perception
0.312026
NarAdv: Natural-Style Physical Adversarial Attack on Traffic Sign Detection for Autonomous Vehicles · IEEE Trans. Dependable Secur. Comput. 2026
Computer vision › Image recognition and object detection › object detection › object detection for autonomous driving
traffic sign detection
0.312026
NarAdv: Natural-Style Physical Adversarial Attack on Traffic Sign Detection for Autonomous Vehicles · IEEE Trans. Dependable Secur. Comput. 2026

Methods — techniques the papers use, named apart from their topics

natural-style perturbation · 2.0
YearPublicationVenuePosition
2026 NarAdv: Natural-Style Physical Adversarial Attack on Traffic Sign Detection for Autonomous Vehicles
Yang Xu 0012, Fengyuan Xie, Chen Lyu 0002, Jia Liu 0009, Yusheng Ji, Norio Shiratori
IEEE Trans. Dependable Secur. Comput.2