Demo Data from EDBT 2026 / reviewers in the wild / expert
Gwangwoon Lee
dblp:330/1319
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—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.
| Network and information security
1 paper |
Cryptographic protocols and secure computation · 50% Cryptographic primitives and cryptanalysis · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic primitives and cryptanalysis › cryptographic assumptions
discrete logarithm assumption |
0.7 | 1 | 2023 | Leopard: Sublinear Verifier Inner Product Argument Under Discrete Logarithm Assumption · IEEE Trans. Inf. Forensics Secur. 2023 |
Cryptographic protocols and secure computation › proof systems
zero-knowledge proofs |
0.7 | 1 | 2023 | Leopard: Sublinear Verifier Inner Product Argument Under Discrete Logarithm Assumption · IEEE Trans. Inf. Forensics Secur. 2023 |
Methods — techniques the papers use, named apart from their topics
inner product argument · 0.7bilinear pairing · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Leopard: Sublinear Verifier Inner Product Argument Under Discrete Logarithm AssumptionabstractAn inner product (IP) argument is a proof system that convinces the verifier of an IP relation between committed integer vectors. IP arguments are crucial building blocks for range proof and zero knowledge arguments, which can be applied to verifiable computation, confidential transactions, decentralized identification, and so on. This paper proposes a novel efficient IP argument with a trustless setup. For integer vectors of size N, the proposed IP argument provides a proof size of O(log2 N), a verification cost of O(√N), and a size of public parameter size of O(√N). The construction uses bilinear pairings and its security relies solely on the discrete logarithm (DL) assumption, a well-established standard cryptographic assumption. Consequently, we obtain the first DL-based IP argument with a trustless setup that achieves a sublinear verifier and logarithmic proof size, which we call Leopard. Furthermore, We empirically evaluate the performance of Leopard. The experimental results demonstrate that Leopard is highly efficient and scalable compared to previous works. Sungwook Kim 0001, Gwangwoon Lee, Hyeonbum Lee, Jae Hong Seo |
IEEE Trans. Inf. Forensics Secur. | 2 |