Seongyun Jeong

dblp:160/2625 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0006-1177-285XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 1 first-author · 2 since 2021
YearPublicationVenuePosition
2025 Intent-aware Fuzzing for Android Hardened Application
abstract
The widespread adoption of app hardening techniques in Android applications makes it more challenging for current analysis techniques to analyze hardened apps, leading to limited analysis coverage. This limitation is mainly due to the difficulties in obtaining detailed information about Intents, which is essential for component communication and the execution of specific events in Android applications.
Seongyun Jeong, Minseong Choi, Haehyun Cho, Seokwoo Choi, Hyungsub Kim, Yuseok Jeon
CCS1
2024 ERASan: Efficient Rust Address Sanitizer
abstract
Rust is a rapidly growing system programming language that ensures a speed comparable to traditional C/C++ system programming languages, along with the additional benefit of guaranteed memory safety. However, Rust’s strict security rules make implementing and executing some features challenging. To address this, Rust has introduced unsafe Rust, which is less constrained by these strict rules. Nevertheless, these unsafe Rust, where strict Rust security rules are not fully applied, can cause temporal and spatial memory bugs that account for 22% of the Rust bugs reported between 2016 and 2023.In this paper, we propose an efficient address sanitizer design customized for Rust, called ERASan, to detect memory bugs in Rust programs more efficiently than prior work. Based on our thorough analysis of safe and unsafe Rust programming language standards as well as memory bugs found in real-world Rust programs over the past years, we design and implement ERASan to only instrument memory accesses in both safe and unsafe code areas where Rust cannot guarantee safety. We evaluate ERASan with several real-world applications. ERASan removes an average of 90.03% of ASan’s memory access checks. Due to this, ERASan significantly reduces ASan’s performance overhead by an average of 239.05% without harming its bug-finding ability.
Jiun Min, Dongyeon Yu, Seongyun Jeong, Dokyung Song, Yuseok Jeon
SP3