Demo Data from SIGIR 2026 / reviewers in the wild / expert
Junjie Nan
dblp:420/0490
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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 |
Image recognition and object detection · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Image recognition and object detection › image classification
robust image classification |
0.9 | 1 | 2025 | NAPPure: Adversarial Purification for Robust Image Classification Under Non-Additive Perturbations · ICCV 2025 |
Security and privacy of machine learning
adversarial defense |
0.9 | 1 | 2025 | NAPPure: Adversarial Purification for Robust Image Classification Under Non-Additive Perturbations · ICCV 2025 |
Security and privacy of machine learning
adversarial robustness |
0.9 | 1 | 2025 | NAPPure: Adversarial Purification for Robust Image Classification Under Non-Additive Perturbations · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
adversarial purification · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | NAPPure: Adversarial Purification for Robust Image Classification Under Non-Additive Perturbations
Junjie Nan, Wei Chen 0034, Mingkun Zhang, Xueqi Cheng 0001 |
ICCV | 1 |