Demo Data from VLDB 2026 / reviewers in the wild / expert
Wonil Jang
dblp:407/8104
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—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 |
Systems and software security · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › memory safety
address sanitizer |
0.9 | 1 | 2025 | CMASan: Custom Memory Allocator-aware Address Sanitizer · SP 2025 |
Systems and software security › memory safety
memory error detection |
0.9 | 1 | 2025 | CMASan: Custom Memory Allocator-aware Address Sanitizer · SP 2025 |
Systems and software security
memory safety |
0.9 | 1 | 2025 | CMASan: Custom Memory Allocator-aware Address Sanitizer · SP 2025 |
Methods — techniques the papers use, named apart from their topics
dynamic analysis · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | CMASan: Custom Memory Allocator-aware Address SanitizerabstractCustom Memory Allocator (CMA) replaces the standard memory allocator for various purposes, such as improving memory efficiency or enhancing security. However, memory objects allocated by CMA are vulnerable to memory bugs similar to those allocated by the standard memory allocator. Unfortunately, existing memory bug detection approaches, including Address Sanitizer (ASan), do not work properly with these CMAs because existing approaches are mainly designed for the standard memory allocator. This paper presents CMASan, the first CMA-aware address sanitizer designed to effectively detect memory bugs on CMA objects that ASan misses without requiring expert knowledge, manual code modifications, or changing the unique internal logic of CMAs. According to our evaluation, CMASan successfully identifies 19 previously unknown CMA memory bugs undetected by ASan, including some undetected for 9 years. Compared to ASan, CMASan incurs only an additional 9.63% overhead. Junwha Hong, Wonil Jang, Mijung Kim, Yonghwi Kwon 0001, Yuseok Jeon |
SP | 2 |