Demo Data from EDBT 2026 / reviewers in the wild / expert
Cheng Si
dblp:139/4125
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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 · 67% Security and privacy of machine learning · 33% |
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 › differential privacy › differentially private learning
differentially private regression |
0.2 | 1 | 2015 | Regression Model Fitting under Differential Privacy and Model Inversion Attack · IJCAI 2015 |
Privacy and data protection
differential privacy |
0.2 | 1 | 2015 | Regression Model Fitting under Differential Privacy and Model Inversion Attack · IJCAI 2015 |
Security and privacy of machine learning › privacy attack
model inversion attack |
0.2 | 1 | 2015 | Regression Model Fitting under Differential Privacy and Model Inversion Attack · IJCAI 2015 |
Methods — techniques the papers use, named apart from their topics
regression model fitting · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Regression Model Fitting under Differential Privacy and Model Inversion Attack
Yue Wang 0009, Cheng Si, Xintao Wu |
IJCAI | 2 |