Knowledge Seeking on The Shadow Brokers. - Seung Ho Na; Kwanwoo Kim; Seungwon Shin 001 (CCS, 2018)

Reinhardt: Real-time Reconfigurable Hardware Architecture for Regular Expression Matching in DPI. - Taejune Park; Jaehyun Nam; Seung Ho Na; Jaewoong Chung; Seungwon Shin 001 (ACSAC, 2021)

Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network. - Jian Cui; Kwanwoo Kim; Seung Ho Na; Seungwon Shin 001 (CoRR, 2021)

Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint. - Seung Ho Na; Hyeong Gwon Hong; Junmo Kim 002; Seungwon Shin 001 (ACSAC, 2022)

Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information. - Jian Cui; Kwanwoo Kim; Seung Ho Na; Seungwon Shin 001 (CIKM, 2022)

Reconfigurable regular expression matching architecture for real-time pattern update and payload inspection. - Jaehyun Nam; Seung Ho Na; Seungwon Shin 001; Taejune Park (J. Netw. Comput. Appl., 2022)

Evolving Bots: The New Generation of Comment Bots and their Underlying Scam Campaigns in YouTube. - Seung Ho Na; Sumin Cho; Seungwon Shin 001 (IMC, 2023)

Witnessing Erosion of Membership Inference Defenses: Understanding Effects of Data Drift in Membership Privacy. - Seung Ho Na; Kwanwoo Kim; Seungwon Shin 001 (RAID, 2023)

CENSor: Detecting Illicit Bitcoin Operation via GCN-Based Hyperedge Classification. - Suyeol Lee; Jaehan Kim; Minjae Seo; Seung Ho Na; Seungwon Shin 001; Jinwoo Kim (IEEE Access, 2024)

When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs. - Hanna Kim; Minkyoo Song; Seung Ho Na; Seungwon Shin 001; Kimin Lee (CoRR, 2024)

Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm. - Jaehan Kim; Minkyoo Song; Seung Ho Na; Seungwon Shin 001 (NAACL (Findings), 2025)