Demo Data from VLDB 2026 / reviewers in the wild / expert
Chengrui Fang
dblp:392/3285
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-3328-5406ORCID · reported
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.
| Network and information security
1 paper |
Blockchain and cryptocurrency security · 100% | |
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › mechanism design
collusion resistance |
0.2 | 1 | 2024 | Data Independent Order Policy Enforcement: Limitations and Solutions · CCS 2024 |
Algorithmic game theory and mechanism design › mechanism design
incentive compatibility |
0.2 | 1 | 2024 | Data Independent Order Policy Enforcement: Limitations and Solutions · CCS 2024 |
Methods — techniques the papers use, named apart from their topics
protocol design · 1.5game-theoretic analysis · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Data Independent Order Policy Enforcement: Limitations and SolutionsabstractOrder manipulation attacks such as frontrunning and sandwiching have become an increasing concern in blockchain applications such as DeFi. To protect from such attacks, several recent works have designed order policy enforcement (OPE) protocols to order transactions fairly in a data-independent fashion. However, while the manipulation attacks are motivated by monetary profits, the defenses assume honesty among a significantly large set of participants. In existing protocols, if all participants are rational, they may be incentivized to collude and circumvent the order policy without incurring any penalty. Sarisht Wadhwa, Luca Zanolini, Aditya Asgaonkar, Francesco D'Amato, Chengrui Fang, Fan Zhang 0022, Kartik Nayak |
CCS | 5 |