Demo Data from VLDB 2026 / reviewers in the wild / expert
Sheng Hang
dblp:424/4955
· DBLP profile ↗
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.
| Artificial intelligence
1 paper |
Trustworthy machine learning · 100% | |
| Network and information security
1 paper |
Security and privacy of machine learning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › robustness › adversarial robustness
adversarial robustness of language models |
1.0 | 1 | 2026 | SoK: Robustness in Large Language Models against Jailbreak Attacks · SP 2026 |
Machine learning › Trustworthy machine learning
robustness |
1.0 | 1 | 2026 | SoK: Robustness in Large Language Models against Jailbreak Attacks · SP 2026 |
Security and privacy of machine learning
large language model security |
1.0 | 1 | 2026 | SoK: Robustness in Large Language Models against Jailbreak Attacks · SP 2026 |
Methods — techniques the papers use, named apart from their topics
systematization of knowledge · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SoK: Robustness in Large Language Models against Jailbreak Attacks
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Zhengyan Zhou, Bin B. Zhu, Shifeng Sun 0001, Dawu Gu, Shuo Wang 0012 |
SP | 4 |