Demo Data from VLDB 2026 / reviewers in the wild / expert
Kota Isayama
dblp:392/2937
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0007-1684-5568ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 1 first-author · 2 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 |
Cryptographic protocols and secure computation · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation
secure multiparty computation |
0.8 | 1 | 2024 | Secure Parallel Computation with Oblivious State Transitions · CCS 2024 |
Parallel and multicore computing
parallel computing |
0.2 | 1 | 2024 | Secure Parallel Computation with Oblivious State Transitions · CCS 2024 |
Methods — techniques the papers use, named apart from their topics
oblivious state transitions · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Oblivious Suffix Sorting: A Multi-Party Computation Scheme for Secure and Efficient Suffix Sorting
Kota Isayama, Koki Jimbo, Naohiro Okamoto, Kunihiko Sadakane, Kazunari Tozawa |
ACNS (1) | 1 |
| 2024 | Secure Parallel Computation with Oblivious State TransitionsabstractWe introduce Oblivious Parallel Stateful Computation (OPSC), a form of secure multi-party computation (MPC) tailored for stateful machine computation models emphasizing parallel execution across multiple data. OPSC enables parties to compute multiple results simultaneously in a parallel fashion, leveraging all data from current states and auxiliary inputs dynamically entered at that point. With its parallel and dynamic nature, OPSC holds promise for privacy-preserving applications in intricate decision-making scenarios involving multiple agents, such as traffic analyses, individual consumer behavior economics, and epidemiological simulations. Nuttapong Attrapadung, Kota Isayama, Kunihiko Sadakane, Kazunari Tozawa |
CCS | 2 |