Demo Data from EDBT 2026 / reviewers in the wild / expert
He Shuang
dblp:246/9380
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 2 first-author · 2 since 2021Systems, architecture and hardware · 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 |
Privacy and data protection · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection › web tracking
tracking detection |
0.9 | 1 | 2025 | Duumviri: Detecting Trackers and Mixed Trackers with a Breakage Detector · NDSS 2025 |
Privacy and data protection
web privacy |
0.9 | 1 | 2025 | Duumviri: Detecting Trackers and Mixed Trackers with a Breakage Detector · NDSS 2025 |
Privacy and data protection
web tracking |
0.9 | 1 | 2025 | Duumviri: Detecting Trackers and Mixed Trackers with a Breakage Detector · NDSS 2025 |
Methods — techniques the papers use, named apart from their topics
breakage detection · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Duumviri: Detecting Trackers and Mixed Trackers with a Breakage Detector
He Shuang, Lianying Zhao, David Lie |
NDSS | 1 |
| 2023 | vWitness: Certifying Web Page Interactions with Computer VisionabstractWeb servers service client requests, some of which might cause the web server to perform security-sensitive operations (e.g. money transfer, voting). An attacker may thus forge or maliciously manipulate such requests by compromising a web client. Unfortunately, a web server has no way of knowing whether the client from which it receives a request has been compromised or not-current “best practice” defenses such as user authentication or network encryption cannot aid a server as they all assume web client integrity. To address this shortcoming, we propose vWitness, which “witnesses” the interactions of a user with a web page and certifies whether they match a specification provided by the web server, enabling the web server to know that the web request is user-intended. The main challenge that vWitness overcomes is that even benign clients introduce unpredictable variations in the way they render web pages. vWitness differentiates between these benign variations and malicious manipulation using computer vision, allowing it to certify to the web server that 1) the web page user interface is properly displayed 2) observed user interactions are used to construct the web request. Our vWitness prototype achieves compatibility with modern web pages, is resilient to adversarial example attacks and is accurate and performant-vWitness achieves 99.97% accuracy and adds 197ms of overhead to the entire interaction session in the average case. He Shuang, Lianying Zhao, David Lie |
DSN | 1 |