Sungkyunkwan University: The Undisputed Leader in SW and AI RISE Team Wins Grand Prize at 2024 SW Talent Festival

Sungkyunkwan University: The Undisputed Leader in SW and AI RISE Team Wins Grand Prize at 2024 SW Talent Festival

[Prof. Hyoungshick Kim] secLab, Wins Top Prize in Financial Security Institute

[Prof. Hyoungshick Kim] secLab, Wins Top Prize in Financial Security Institute ▲ (From left) Researcher Sang-Yoon Seok, President Chul-Woong Kim of the Financial Security Agency, Graduate Student Hyunmin Choi, and Student Jihoon Kim Jihoon Kim and Hyunmin Choi, members of the Security Engineering Lab (supervised by Professor Hyungshick Kim) in the Department of Electrical, Electronic, and Computer Engineering, collaborated with Sang-Yoon Seok, a researcher at Naver Cloud, to win the top prize at the 8th Financial Security Institute’s Paper Contest. The award ceremony was held on Thursday, November 7, at the Conrad Hotel in Yeouido, Seoul. Hyunmin Choi is currently conducting research on privacy protection at Naver Cloud. The annual paper competition, hosted by the Financial Security Institute, invites submissions on topics such as changes in the financial environment, new technologies, and improvements to laws and regulations. Eight outstanding papers are selected each year, and winners receive preferential benefits when applying to the Financial Security Institute. Hyunmin Choi, the corresponding author and a doctoral candidate in the Department of Computer Science and Engineering, stated, “With the mandatory use of financial MyData APIs, the importance of data privacy technology is increasing. Our paper focused on enhancing security through homomorphic encryption and enabling data combination technologies.” Jihoon Kim, the first author and an undergraduate student in the Department of Mathematics, shared, “This research was a valuable learning experience, and I hope to continue contributing to advancements in security technology.” Professor Hyungshick Kim added, “This project provided students with a meaningful opportunity to apply the latest security technologies in real-world settings through collaboration with Naver Cloud.”

[Prof. Sooyoung Cha] SALab, Papers Approved for Publication at the ICSE 2025 International Conference

[Prof. Sooyoung Cha] SALab, Papers Approved for Publication at the ICSE 2025 International Conference ■ Title: TopSeed: Learning Seed Selection Strategies for Symbolic Execution from Scratch ■ Author of a paper: Jaehyeok Lee, Prof. Sooyoung Cha ■ Conference: IEEE/ACM International Conference on Software Engineering (ICSE 2025) ■ Abstract: We present TopSeed, a new approach that automatically selects optimal seeds to enhance symbolic execution. Recently, the performance of symbolic execution has significantly improved through various state-of-the-art techniques, including search strategies and state-pruning heuristics. However, these techniques have typically demonstrated their effectiveness without considering “seeding”, which efficiently initializes program states for exploration. This paper aims to select valuable seeds from candidate inputs generated during interactions with any symbolic execution technique, without the need for a predefined seed corpus, thereby maximizing the technique's effectiveness. One major challenge is the vast number of candidates, making it difficult to identify promising seeds. To address this, we introduce a customized online learning algorithm that iteratively groups candidate inputs, ranks each group, and selects a seed from the top-ranked group based on data accumulated during symbolic execution. Experimental results on 17 open-source C programs show that TopSeed significantly enhances four distinct cutting-edge techniques, implemented on top of two symbolic executors, in terms of branch coverage and bug-finding abilities.

[prof.Simon S. Woo] DASH Lab, Two Papers Approved for Publication at the CIKM 2024 International Conference

[prof.Simon S. Woo] DASH Lab, Two Papers Approved for Publication at the CIKM 2024 International Conference 1. IDENTIFY: Integral Radial and Spatial Fourier Analysis for AI-Generated Image Authentication (full paper) Writer: Inzamamul Alam, Muhammad Shahid Muneer, and Prof. Simon S. Woo This study proposes a method for detecting deepfakes generated by a new generative AI (Diffusion) technique using Integral Radial and Spatial Fourier Analysis with high performance. Notably, the proposed method shows 12-28% higher performance compared to existing approaches. IDENTIFY: Integral Radial and Spatial Fourier Analysis for AI-Generated Image Authentication, Inzamamul Alam, Muhammad Shahid Muneer, and Simon S. Woo*, 33rd ACM International Conference on Information & Knowledge Management (CIKM), Boise, Idaho, USA, October 2024 2. Deep Journey Hierarchical Attention Networks for Conversion Predictions in Digital Marketing (full paper) Writer: Girim Ban, Hyeonseok Yun, Banseok Lee, David Sung, and Prof. Simon S. Woo This study proposes Deep Journey Hierarchical Attention Networks (DJHAN) to enhance user conversion prediction in digital marketing, improving key metrics such as Conversion Rate (CVR) and Return on Ad Spend (ROAS) compared to existing methods. The proposed model demonstrated high performance when applied to real marketing data from KT/NasMedia. Deep Journey Hierarchical Attention Networks for Predictions in Digital Marketing Girim Ban, Hyeonseok Yun, Banseok Lee, David Sung, and Simon S. Woo* 33rd ACM International Conference on Information & Knowledge Management (CIKM), Boise, Idaho, USA, October 2024