Demo Data from EDBT 2026 / reviewers in the wild / expert
Weilin Xu
dblp:44/10356
· DBLP profile ↗
5ranked-venue papers
2as first author
2since 2021 · last 2025
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Security and privacy · 2 · 2 first-authorSystems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 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.
| Artificial intelligence
2 papers |
Trustworthy machine learning · 100% | |
| Network and information security
2 papers |
Malware analysis · 72% Security and privacy of machine learning · 28% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › adversarial machine learning › adversarial defense
adversarial example detection |
0.3 | 1 | 2018 | Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks · NDSS 2018 |
Machine learning › Trustworthy machine learning › robustness
adversarial robustness |
0.3 | 1 | 2018 | Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks · NDSS 2018 |
Malware analysis › malware detection
PDF malware detection |
0.2 | 1 | 2016 | Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers · NDSS 2016 |
Security and privacy of machine learning
adversarial example |
0.1 | 1 | 2018 | Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks · NDSS 2018 |
Machine learning › Trustworthy machine learning › adversarial machine learning
evasion attack |
0.1 | 1 | 2016 | Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers · NDSS 2016 |
Methods — techniques the papers use, named apart from their topics
input transformation · 0.7feature squeezing · 0.7genetic algorithm · 0.5classifier evasion · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Safe path planning for autonomous vehicles with real-time observation based localization uncertainty prediction
Liquan Jiang, Zhaozheng Hu, Ruhan He, Hanbiao Xiao, Weilin Xu |
Expert Syst. Appl. | 6 |
| 2023 | Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Rahul Duggal, Mansi Phute, Polo Chau |
BMVC | 2 |
| 2019 | An all-digital frequency tunable IR-UWB transmitter with an approximate 15th derivative Gaussian pulse generator
Baolin Wei, Chao Lu 0005, Weilin Xu, Yuanzhi Zhang 0004, Xueming Wei, Hongwei Yue, Jihai Duan |
Integr. | 4 |
| 2018 | Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu, David Evans 0001, Yanjun Qi |
NDSS | 1 |
| 2016 | Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers
Weilin Xu, Yanjun Qi, David Evans 0001 |
NDSS | 1 |