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연구실의 모든 국제/국내 학회·저널 논문 및 특허입니다. 저자, 학회, 연도, 타입으로 필터링할 수 있습니다.

105 / 105 publications

2026

21 entries

[01]
Jin-Seong Kim, Han-Ju Lee, Seok-Won Hong, Takeshi Takahashi, Chansu Han, Tomohiro Morikawa, Seok-Hwan Choi^† (2026).
“Don’t Trust the AI Ecosystem: Analyzing Privacy Leakage in Compromised Open-Source Components.”
In ACM CCSInt'l Conf.In Press
[02]
Jae-Hwan Jeong, Chan-Seuk Oh, Seok-Hwan Choi^† (2026).
“HyTAR: Robust rPPG Extraction pipeline for Deepfake Detection in Unconstrained Surveillance Environments.”
In AVSSInt'l Conf.In Press
[03]
Chan-Seuk Oh, Jae-Hwan Jeong, Seok-Hwan Choi^† (2026).
“Logo-Conditioned Backdoor Attacks: Repurposing Natural Car Logos as Semantic Triggers in Object Detection.”
In AVSSInt'l Conf.In Press
[04]
Hyeon-Jin Jung, Han-Jin Lee, Seok-Hwan Choi^† (2026).
“Streamlined Knowledge Distillation.”
In CVPRInt'l Conf.
- Knowledge Distillation
- Logit-based Distillation
- Instance-wise knowledge
- Direction-wise knowledge
PDF Project
[05]
Han-Ju Lee, Jin-Seong Kim, Seok-Hwan Choi^† (2026).
“An Empirical Study on the Privacy Effects of Model Merging in Vision Language Models.”
In ICUFNInt'l Conf.In Press
- Model Merging
- Backdoor Attack
- Vision Language Model
[06]
Jin-Seong Kim, Han-Ju Lee, Hyeon-Jin Jung, Seok-Hwan Choi^† (2026).
“Multi-dimensional Vulnerability Analysis of LM Safety Guards via Role-Goal-Format Decomposition.”
In ICUFNInt'l Conf.In Press
- Large Language Models
- AI Safety
- Jailbreaking
- Prompt Engineering
- Vulnerability Analysis
[07]
Hyeon-Jin Jung, Seok-Won Hong, Jae-Hwan Jeong, Seok-Hwan Choi^† (2026).
“Teacher-Anchored Worst-Case Stability Distillation for Membership Privacy.”
In ICUFNInt'l Conf.In Press
[08]
Ji-Hyun Choi, Seok-Won Hong, Hyeon-Jin Jung, Seok-Hwan Choi^† (2026).
“Mitigating Cross-Domain Performance Degradation in Time-Series NIDS via LoRA.”
In ElectronicsInt'l Journal
Project
[09]
Gwang-Nam Kim, Han-Ju Lee, In-Woong Jeong, Jinmyeong Shin, Seok-Hwan Choi^† (2026).
“FAMF: Robust Feature-Level Adversarial Attack on Metric-Based Few-Shot Learning Models.”
In IEEE AccessInt'l Journal
DOI
[10]
Hyeon-Jin Jung, Seok-Hwan Choi^† (2026).
“LCK: Label-mixing Complementary Knowledge based Privacy Preserving Method.”
In 한국지능시스템학회Dom. Conf.
[11]
Han-Jin Lee, Jae-Hwan Jeong, Hyeon-Jin Jung, Su-Yeon Park, Seok-Hwan Choi^† (2026).
“POP: 확산 모델의 국소 복원 민감도를 활용한 적대적 샘플 탐지 지표 제안.”
In 한국지능시스템학회Dom. Conf.
PDF
[12]
Jae-Hwan Jeong, Hyeon-Jin Jung, Han-Jin Lee, Su-Yeon Park, Seok-Hwan Choi^† (2026).
“Soft-JMI: 퍼지 집합 이론 기반의 민감 데이터 식별 가능성 평가 지표 연구.”
In 한국지능시스템학회Dom. Conf.
[13]
Su-Yeon Park, Han-Jin Lee, Hyeon-Jin Jung, Jae-Hwan Jeong, Seok-Hwan Choi^† (2026).
“Training-free AI 생성 이미지 및 영상 탐지 기법 동향 분석.”
In 한국지능시스템학회Dom. Conf.
[14]
Jae-Kyeom Kim, Jun-Woo Choi, Jin-Seong Kim, Han-Ju Lee, Seok-Hwan Choi^† (2026).
“바이브 코딩 환경에서의 패키지 환각 발생 원리 및 슬롭스쿼팅 공격 사슬.”
In 한국지능시스템학회Dom. Conf.
[15]
Chan-Seuk Oh, Seong-Joon Chang, Ju-Young Kim, Seok-Hwan Choi^† (2026).
“객체 탐지 모델을 대상으로 한 백도어 공격 기법 동향.”
In 한국지능시스템학회Dom. Conf.
[16]
Han-Ju Lee, Jin-Seong Kim, Jae-Kyeom Kim, Jun-Woo Choi, Seok-Hwan Choi^† (2026).
“난해한 프로그래밍 언어를 활용한 언어 모델 탈옥 기법 제안.”
In 한국지능시스템학회Dom. Conf.
PDF
[17]
Jun-Woo Choi, Jae-Kyeom Kim, Jin-Seong Kim, Han-Ju Lee, Seok-Hwan Choi^† (2026).
“에이전트 AI의 안전성 및 취약점 검증을 위한 퍼징 기법 동향.”
In 한국지능시스템학회Dom. Conf.
[18]
Seong-Joon Chang, Chan-Seuk Oh, Ju-Young Kim, Seok-Hwan Choi^† (2026).
“연합 학습 기반 안드로이드 악성코드 탐지에서 label flipping attack 방어를 위한 FedLB 집계 기법.”
In 한국지능시스템학회Dom. Conf.
PDF
[19]
Seok-Won Hong, Ji-Hyun Choi, Ye-Chan Yu, Seok-Hwan Choi^† (2026).
“연합학습 환경에서 멤버십 추론·모델 포이즈닝·적대적 예제 공격 통합 평가 및 방어 기법 비교.”
In 한국지능시스템학회Dom. Conf.
PDF
[20]
Ye-Chan Yu, Seok-Won Hong, Ji-Hyun Choi, Seok-Hwan Choi^† (2026).
“차세대 AI 기반 네트워크 침입 탐지 시스템(NIDS) 연구 동향: 실무적 보안 태스크를 중심으로.”
In 한국지능시스템학회Dom. Conf.
PDF
[21]
Jin-Seong Kim, Han-Ju Lee, Jae-Kyeom Kim, Jun-Woo Choi, Seok-Hwan Choi^† (2026).
“페르소나 기반 활성화 스티어링을 활용한 LLM의 계층적 거절 제어 연구.”
In 한국지능시스템학회Dom. Conf.
PDF

2025

27 entries

[01]
Han-Ju Lee, Jin-Seong Kim, Gwang-Nam Kim, Seok-Hwan Choi^† (2025).
“Grid-Based Adversarial Patch Placement Optimization for Enhanced Object Detection Attacks.”
In ICUFNInt'l Conf.
[02]
Hyeon-Jin Jung, Han-Jin Lee, Gwang-Nam Kim, Seok-Hwan Choi^† (2025).
“Self-MCKD: Enhancing the Effectiveness and Efficiency of Knowledge Transfer in Malware Classification.”
In ElectronicsInt'l Journal
DOI
[03]
Gwang-Nam Kim, Han-Ju Lee, Han-Jin Lee, Hyeon-Jin Jung, Seok-Hwan Choi^† (2025).
“AB-VIP: Attack method using Brightness information for Visibility Improvement of adversarial Perturbations on the NMS algorithm.”
In IEEE AccessInt'l Journal
DOI
[04]
In-Woong Jeong, Han-Ju Lee, Gwang-Nam Kim, Seok-Hwan Choi^† (2025).
“MalFormer: A Novel Vision Transformer Model for Robust Malware Analysis.”
In IEEE AccessInt'l Journal
DOI
[05]
Han-Ju Lee, Jin-Seong Kim, Han-Jin Lee, Seok-Hwan Choi^† (2025).
“POSES: Patch Optimization Strategies for Efficiency and Stealthiness Using eXplainable AI.”
In IEEE AccessInt'l Journal
DOI
[06]
Han-Ju Lee, Gwang-Nam Kim, Seok-Hwan Choi^† (2025).
“Electrocardiogram Signal De-Identification Methods for Enhancing Robustness against Membership Inference Attacks.”
In 한국정보보호학회 논문지Dom. Journal
DOI
[07]
Chan-Seuk Oh, In-Woong Jeong, Seok-Hwan Choi^† (2025).
“LGGAN: Local-Global Guided Generative Adversarial Network for Adverse-Weather Image Restoration.”
In 한국지능시스템학회 논문지Dom. Journal
[08]
Jae-Hwan Jeong, Gwang-Nam Kim, Seok-Hwan Choi^† (2025).
“Two-Stage Filtering-Based Video Augmentation Strategy for rPPG-Based Deepfake Detection under Class Imbalance.”
In 한국지능시스템학회 논문지Dom. Journal
DOI
[09]
하지혁, 김혜빈, 한동식, 고민균, Seok-Hwan Choi^† (2025).
“거대 언어 모델 탈옥 공격 기법의 정량적 비교 연구.”
In 정보보호학회Dom. Conf.
[10]
Jun-Woo Choi, 김태용, Su-Yeon Park, Ye-Chan Yu, Seok-Hwan Choi^† (2025).
“악성코드 난독화 성능 평가에 대한 연구: 데이터 난독화부터 LLM 기반 난독화까지.”
In 정보보호학회Dom. Conf.
[11]
윤상원, 고강민, 진예찬, Seok-Hwan Choi^† (2025).
“프레임 기반 딥페이크 탐지를 위한 CNN-UniFormer 하이브리드 모델 연구.”
In 정보보호학회Dom. Conf.
[12]
Han-Jin Lee, Han-Ju Lee, Seok-Hwan Choi^† (2025).
“DUAE: Diffusion 기반 Unrestricted Adversarial Example 생성 기법.”
In 한국지능시스템학회Dom. Conf.
[13]
Yu-Won Kim, Seok-Hwan Choi^† (2025).
“Docker와 Kubernetes의 취약한 보안 설정을 활용한 공격 시나리오 설계 및 구조적 분석.”
In 한국지능시스템학회Dom. Conf.
[14]
Seok-Won Hong, In-Woong Jeong, Han-Jin Lee, Seok-Hwan Choi^† (2025).
“TG-NFGNN: 시간 및 포트 인식 그래프 신경망 기반 네트워크 플로우 악성코드 탐지 시스템.”
In 한국지능시스템학회Dom. Conf.
[15]
Chan-Seuk Oh, Seok-Hwan Choi^† (2025).
“YOLOv9 기반의 실시간 흡연 탐지 시스템.”
In 한국지능시스템학회Dom. Conf.
[16]
Jae-Hwan Jeong, Seok-Hwan Choi^† (2025).
“rPPG 기반 딥페이크 탐지에서 주파수 해석 기법의 영향 분석.”
In 한국지능시스템학회Dom. Conf.
[17]
Seong-Joon Chang, Seok-Hwan Choi^† (2025).
“안드로이드 악성코드 탐지에서 데이터의 수집 조건 차이가 모델 성능에 미치는 영향에 관한 연구.”
In 한국지능시스템학회Dom. Conf.
[18]
Ji-Hyun Choi, Seok-Hwan Choi^† (2025).
“인공지능 기반 네트워크 침입 탐지 시스템의 일반화 한계 검증: 데이터 교차 실험을 중심으로.”
In 한국지능시스템학회Dom. Conf.
[19]
Jin-Seong Kim, Han-Ju Lee, Gwang-Nam Kim, Hyeon-Jin Jung, Seok-Hwan Choi^† (2025).
“텍스트 모델에 대한 로짓 공간 최적화 기반 모델 인버전 공격.”
In 한국지능시스템학회Dom. Conf.
[20]
Hyeon-Jin Jung, Seok-Hwan Choi^† (2025).
“효율적인 악성코드 분류를 위한 경량 학습 모델 MalDeiT 제안.”
In 한국지능시스템학회Dom. Conf.
[21]
Jin-Seong Kim, Hyeon-Jin Jung, Seok-Hwan Choi (2025).
“METHOD FOR RESTORING INPUT DATA AND DEEP LEARNING MODEL THEREFOR.”
In KR 10-0002872Patent
[22]
Hyeon-Jin Jung, Gwang-Nam Kim, Seok-Hwan Choi (2025).
“KNOWLEDGE DISTILLATION APPARATUS AND METHOD FOR IMPROVING THE PERFORMANCE OF MALWARE CLASSIFICATION MODEL.”
In KR 10-0054917Patent
[23]
Gwang-Nam Kim, Han-Ju Lee, Han-Jin Lee, Hyeon-Jin Jung, Seok-Hwan Choi (2025).
“APPARATUS AND METHOD FOR GENERATING ADVERSARIAL EXAMPLE BASED ON BRIGHTNESS INFORMATION.”
In KR 10-0054921Patent
[24]
In-Woong Jeong, Han-Ju Lee, Gwang-Nam Kim, Seok-Hwan Choi (2025).
“APPARATUS AND METHOD FOR ANALYSING MALWARE.”
In KR 10-0093346Patent
[25]
Seok-Won Hong, Jin-Seong Kim, Seok-Hwan Choi (2025).
“DATA PROCESSING APPARATUS AND METHOD FOR NETWORK INTRUSION DETECTION BASED ON MULTI SESSIONIZATION.”
In KR 10-0094627Patent
[26]
Han-Ju Lee, Jin-Seong Kim, Han-Jin Lee, Seok-Hwan Choi (2025).
“APPARATUS AND METHOD FOR OPTIMIZING HOSTILE PATCH.”
In KR 10-0137027Patent
[27]
Han-Ju Lee, Gwang-Nam Kim, Seok-Hwan Choi (2025).
“APPARATUS AND METHOD FOR DE-IDENTIFYING BIOSIGNAL.”
In KR 10-0190365Patent

2024

18 entries

[01]
Jin-Seong Kim, Han-Jin Lee, Han-Ju Lee, Seok-Hwan Choi^† (2024).
“Advanced Analysis of Learning-based Spam Email Filtering Methods Based on Feature Distribution Differences of Dataset.”
In IEEE AccessInt'l Journal
DOI
[02]
Seok-Won Hong, Jin-Seong Kim, 박희준, Seok-Hwan Choi^† (2024).
“Graph Generation Algorithm Based on Multi-Sessionization for Wireless Network Intrusion Detection.”
In 정보과학회 컴퓨팅의 실제 논문지Dom. Journal
DOI
[03]
In-Woong Jeong, Han-Jin Lee, Jae-Hwan Jeong, Seok-Hwan Choi^† (2024).
“A Study on Malware Family Classification Method based on Separable Vision Transformer Using Sharpness-Aware Minimization.”
In 한국지능시스템학회 논문지Dom. Journal
DOI
[04]
Hyeon-Jin Jung, Seok-Won Hong, Jin-Seong Kim, Seok-Hwan Choi^† (2024).
“Cloud Anomaly Detection Method Using 1-D STM Block-based Stacking CNN Model.”
In 한국지능시스템학회 논문지Dom. Journal
DOI
[05]
Gwang-Nam Kim, Han-Ju Lee, Han-Jin Lee, Seok-Hwan Choi^† (2024).
“ECG Data De-identification-based Defense Methods against Model Extraction Attack.”
In 한국지능시스템학회 논문지Dom. Journal
DOI
[06]
Han-Jin Lee, In-Woong Jeong, Jae-Hwan Jeong, Seok-Hwan Choi^† (2024).
“Improving Graph-Based Malware Detection Performance using Centrality Features.”
In 한국지능시스템학회 논문지Dom. Journal
DOI
[07]
박희준, 정태원, Han-Ju Lee, Seok-Hwan Choi^† (2024).
“Investigating the Vulnerability of 3D Point Cloud Classifiers to Backdoor Attacks Leveraging Transfer Learning.”
In 한국지능시스템학회 논문지Dom. Journal
DOI
[08]
Hyeon-Jin Jung, Gwang-Nam Kim, Han-Ju Lee, Han-Jin Lee, Seok-Hwan Choi^† (2024).
“NSL-MHA : Proposing an Adversarial Training Method for Cloud Anomaly Detection Model.”
In 한국지능시스템학회 논문지Dom. Journal
DOI
[09]
Seok-Won Hong, Jin-Seong Kim, 김민재, Seok-Hwan Choi^† (2024).
“Graph Transformer Network 기반 무선 네트워크 침입 탐지 시스템.”
In 한국정보처리학회Dom. Conf.
[10]
Gwang-Nam Kim, Han-Ju Lee, Han-Jin Lee, Seok-Hwan Choi^† (2024).
“PSNR과 SSIM을 활용한 NMS 알고리즘 대상 Adversarial Examples 분석.”
In 한국정보처리학회Dom. Conf.
[11]
Hyeon-Jin Jung, Gwang-Nam Kim, Han-Ju Lee, Han-Jin Lee, Seok-Hwan Choi^† (2024).
“STC-NSL-MHA : 클라우드 이상 행위 탐지 모델의 적대적 공격 방어 기법 제안.”
In 한국지능시스템학회Dom. Conf.
[12]
Jin-Seong Kim, Seok-Won Hong, In-Woong Jeong, Seok-Hwan Choi^† (2024).
“샘플링 기반 멤버십 추론 공격을 통한 자연어 처리 모델의 프라이버시 취약성 평가.”
In 한국지능시스템학회Dom. Conf.
[13]
Han-Jin Lee, Han-Ju Lee, Hyeon-Jin Jung, 강동혁, Seok-Hwan Choi^† (2024).
“Data-Localization 환경에서의 White-Box Model Inversion Attack 시나리오.”
In 한국컴퓨터종합학술대회Dom. Conf.
[14]
Han-Ju Lee, Han-Jin Lee, Gwang-Nam Kim, In-Woong Jeong, Seok-Hwan Choi^† (2024).
“LOAP:설명가능한 인공지능을 활용한 적대적 패치 위치 최적화 기법 제안.”
In 한국컴퓨터종합학술대회Dom. Conf.
[15]
In-Woong Jeong, Jin-Seong Kim, Seok-Won Hong, Jae-Hwan Jeong, Chan-Seuk Oh, Seok-Hwan Choi^† (2024).
“RegionViT 기반 악성코드 유형 분류 기법.”
In 한국컴퓨터종합학술대회Dom. Conf.
[16]
Jae-Hwan Jeong, Gwang-Nam Kim, 김민재, 강동혁, Chan-Seuk Oh, Seok-Hwan Choi^† (2024).
“안드로이드 랜섬웨어 탐지를 위한 상관 분석 기반 특징 추출 방안.”
In 한국컴퓨터종합학술대회Dom. Conf.
[17]
김민재, Jin-Seong Kim, Seok-Won Hong, Hyeon-Jin Jung, Seok-Hwan Choi^† (2024).
“효율적인 네트워크 침입 탐지를 위한 DQN 멀티 에이전트 프레임 워크.”
In 한국컴퓨터종합학술대회Dom. Conf.
[18]
Jae-Hwan Jeong, In-Woong Jeong, Han-Jin Lee, Seok-Hwan Choi^† (2024).
“안드로이드 랜섬웨어 탐지를 위한 Chi-square 기반 특징 추출 방안.”
In 한국통신학회Dom. Conf.

2023

18 entries

[01]
Seok-Hwan Choi, Jinmyeong Shin, Yoon-Ho Choi^† (2023).
“PIHA: Detection method using perceptual image hashing against query-based adversarial attacks.”
In Future Generation Computer SystemsInt'l Journal
DOI
[02]
Tae-Hoon Kim, Seok-Hwan Choi, Yoon-Ho Choi^† (2023).
“Instance-agnostic and practical clean label backdoor attack method for deep learning based face recognition models.”
In IEEE AccessInt'l Journal
DOI
[03]
Han-Ju Lee, Gwang-Nam Kim, 박희준, 고광만, Seok-Hwan Choi^† (2023).
“반입금지 물품의 X-ray 데이터에 대한 딥러닝 모델의 instance segmentation 결과 비교 및 검증.”
In 한국정보보호학회Dom. Conf.
[04]
정태원, 이승욱, Jae-Hwan Jeong, Seok-Hwan Choi^† (2023).
“원격의료 보안 취약점 분석: 사고 사례를 중심으로.”
In 한국정보보호학회Dom. Conf.
[05]
Han-Jin Lee, Jae-Hwan Jeong, In-Woong Jeong, Seok-Hwan Choi^† (2023).
“Centrality를 활용한 그래프 기반 악성코드 탐지 성능 향상 방안.”
In 한국지능시스템학회Dom. Conf.
[06]
In-Woong Jeong, Han-Jin Lee, Jae-Hwan Jeong, Seok-Hwan Choi^† (2023).
“Cross-Attention Multi-Scale Vision Transformer 기반의 악성코드 유형 분류 기법.”
In 한국지능시스템학회Dom. Conf.
[07]
정태원, Gwang-Nam Kim, Han-Ju Lee, Seok-Hwan Choi^† (2023).
“DP-SGD 알고리즘을 활용한 의료 데이터 개인정보 보호 평가에 대한 연구.”
In 한국지능시스템학회Dom. Conf.
[08]
Gwang-Nam Kim, 박희준, 정태원, Seok-Hwan Choi^† (2023).
“Dense Adversary Generation 공격의 신호등 인식 모델 적용 가능성에 대한 연구.”
In 한국지능시스템학회Dom. Conf.
[09]
Hyeon-Jin Jung, Seok-Won Hong, Jin-Seong Kim, Seok-Hwan Choi^† (2023).
“Stacking CNN을 활용한 클라우드 시스템 내 이상 탐지 모델.”
In 한국지능시스템학회Dom. Conf.
[10]
Seok-Won Hong, Hyeon-Jin Jung, Jin-Seong Kim, Seok-Hwan Choi^† (2023).
“기계학습 기반의 무선 MAC 계층 공격 탐지를 위한 특징 추출 방법.”
In 한국지능시스템학회Dom. Conf.
[11]
Han-Ju Lee, Gwang-Nam Kim, 박희준, Seok-Hwan Choi^† (2023).
“딥러닝 기반 이미지 분류 모델에 대한 적대적 패치의 최신 동향에 관한 연구.”
In 한국지능시스템학회Dom. Conf.
[12]
Jin-Seong Kim, Hyeon-Jin Jung, Seok-Won Hong, Seok-Hwan Choi^† (2023).
“스팸 탐지에서 OOV가 분류 모델에 미치는 영향에 관한 연구.”
In 한국지능시스템학회Dom. Conf.
[13]
박희준, 정태원, Han-Ju Lee, Seok-Hwan Choi^† (2023).
“전이학습을 활용한 3D 포인트 클라우드 분류기의 백도어 공격 취약성 연구.”
In 한국지능시스템학회Dom. Conf.
[14]
Hyeon-Jin Jung, 정태원, Han-Jin Lee, Seok-Hwan Choi^† (2023).
“쿼리 기반 블랙박스 적대적 공격 방어 기법의 한계에 관한 연구.”
In 한국지능시스템학회Dom. Conf.
[15]
Seok-Won Hong, Hyeon-Jin Jung, 정태원, Seok-Hwan Choi^† (2023).
“딥러닝 기반 앙상블을 이용한 네트워크 침입 탐지에 관한 연구.”
In 한국컴퓨터종합학술대회Dom. Conf.
[16]
In-Woong Jeong, Jin-Seong Kim, Han-Jin Lee, Seok-Hwan Choi^† (2023).
“악성코드 유형 분류를 위한 인공지능 모델 비교 및 분석에 관한 연구.”
In 한국컴퓨터종합학술대회Dom. Conf.
[17]
허은정, 고다원, Chan-Seuk Oh, 이서연, Seok-Hwan Choi^† (2023).
“IP 카메라 보안 취약점과 대응 방안에 관한 연구.”
In 한국통신학회Dom. Conf.
[18]
Jin-Seong Kim, In-Woong Jeong, Seok-Won Hong, Seok-Hwan Choi^† (2023).
“의료 서비스 비대칭 개선을 위한 비수도권 이동치료자 현황 분석에 관한 연구.”
In 한국통신학회Dom. Conf.

2022

2 entries

[01]
Jae-Seok Kim, Jinmyeong Shin, Seok-Hwan Choi, Yoon-Ho Choi^† (2022).
“A study on prevention and automatic recovery of blockchain networks against persistent censorship attacks.”
In IEEE AccessInt'l Journal
[02]
Seok-Hwan Choi, Jinmyeong Shin, Peng Liu, Yoon-Ho Choi^† (2022).
“ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks against Adversarial Examples.”
In IEEE AccessInt'l Journal

2021

5 entries

[01]
Do-Yeon Hwang, Seok-Hwan Choi, Jinmyeong Shin, Moonkyu Kim, Yoon-Ho Choi^† (2021).
“GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery.”
In ElectronicsInt'l Journal
[02]
Seok-Hwan Choi, Jinmyeong Shin, Peng Liu, Yoon-Ho Choi^† (2021).
“EEJE: Two-Step Input Transformation for Robust DNN against Adversarial Examples.”
In IEEE Transactions on Network Science and EngineeringInt'l Journal
[03]
Jinmyeong Shin, Seok-Hwan Choi, Yoon-Ho Choi^† (2021).
“Is Homomorphic Encryption-Based Deep Learning Secure Enough?.”
In SensorsInt'l Journal
[04]
Seok-Hwan Choi, Hyeong-Geon Kim, Yoon-Ho Choi^† (2021).
“An Adversarial Attack Type Classification Method Using Linear Discriminant Analysis and k-means Algorithm.”
In 한국정보보호학회 논문지Dom. Journal
[05]
Yoon-Ho Choi, DongHyun Ko, Seok-Hwan Choi, Jinmyeong Shin, Seon-Jin Hwang (2021).
“Image Processing Method and System for Deep Learning.”
In KR 10-2234097Patent

2020

2 entries

[01]
DongHyun Ko, Seok-Hwan Choi, Jinmyeong Shin, Peng Liu, Yoon-Ho Choi^† (2020).
“Structural Image De-Identification for Privacy-Preserving Deep Learning.”
In IEEE AccessInt'l Journal
[02]
DongHyun Ko, Seok-Hwan Choi, Sungyong Ahn, Yoon-Ho Choi^† (2020).
“Robust Indoor Localization Methods Using Random Forest-Based Filter against MAC Spoofing Attack.”
In SensorsInt'l Journal

2019

5 entries

[01]
Seok-Hwan Choi, Jinmyeong Shin, Peng Liu, Yoon-Ho Choi^† (2019).
“Robustness Analysis of CNN-based Malware Family Classification Methods Against Various Adversarial Attacks.”
In IEEE CNSInt'l Conf.
[02]
Jinmyeong Shin, Seok-Hwan Choi, Peng Liu, Yoon-Ho Choi^† (2019).
“Unsupervised multi-stage attack detection framework without details on single-stage attacks.”
In Future Generation Computer SystemsInt'l Journal
[03]
Seok-Hwan Choi, Jinmyeong Shin, Yoon-Ho Choi^† (2019).
“Dynamic Nonparametric Random Forest Using Covariance.”
In Security and Communication NetworksInt'l Journal
[04]
Hyeong-Geon Kim, Seok-Hwan Choi, Kwang-Wook Yun, Yoon-Ho Choi^† (2019).
“Web-based Privacy Impact Assessment System Through Automatic Collection of Membership Terms Information.”
In 정보과학회 컴퓨팅의 실제 논문지Dom. Journal
[05]
DongHyun Ko, Seok-Hwan Choi, Seon-Jin Hwang, Yoon-Ho Choi^† (2019).
“Cryptojacking Attack Using Pastejacking and Defense Method.”
In 한국통신학회 논문지Dom. Journal

2018

2 entries

[01]
Seok-Hwan Choi, DongHyun Ko, Seon-Jin Hwang, Yoon-Ho Choi^† (2018).
“Memory-Efficient Random Forest Generation Method for Network Intrusion Detection.”
In ICUFNInt'l Conf.
[02]
Doo-Hee Hwang, Seok-Hwan Choi, Jinmyeong Shin, Giltae Song, Yoon-Ho Choi^† (2018).
“Privacy-Preserving Compressed Reference-Oriented Alignment Map Using Decentralized Storage.”
In IEEE AccessInt'l Journal

2017

3 entries

[01]
Seok-Hwan Choi, Doo-Hee Hwang, Yoon-Ho Choi^† (2017).
“Wireless intrusion prevention system using dynamic random forest against wireless MAC spoofing attack.”
In IEEE DSCInt'l Conf.
[02]
Kwang-Wook Yun, Seok-Hwan Choi, Sang-Un An, Jeong-Goo Kim, Yoon-Ho Choi^† (2017).
“Implementing a Dedicated WIPS Sensor Using Raspberry Pi.”
In 정보과학회 컴퓨팅의 실제 논문지Dom. Journal
[03]
Seok-Hwan Choi, Junho Kwon, Yoon-Ho Choi^† (2017).
“Real-Time User Login Account Access Management Using Mobile App.”
In 정보과학회 컴퓨팅의 실제 논문지Dom. Journal

2016

1 entries

[01]
Yoon-Ho Choi, WooJin Park, Seok-Hwan Choi, Seung-Woo Seo (2016).
“STEAL: Service Time-Aware Load balancer on many-core processors for fast intrusion detection.”
In IEEE INFOCOM WorkshopsInt'l Conf.

2015

1 entries

[01]
Seok-Hwan Choi, Da-Hyeon Kim, Yoon-Ho Choi^† (2015).
“Timely login status control using mobile app.”
In IEEE CNSInt'l Conf.

† corresponding author · * equal contribution · lab member

Publications

2026

“Don’t Trust the AI Ecosystem: Analyzing Privacy Leakage in Compromised Open-Source Components.”

“HyTAR: Robust rPPG Extraction pipeline for Deepfake Detection in Unconstrained Surveillance Environments.”

“Logo-Conditioned Backdoor Attacks: Repurposing Natural Car Logos as Semantic Triggers in Object Detection.”

“Streamlined Knowledge Distillation.”

“An Empirical Study on the Privacy Effects of Model Merging in Vision Language Models.”

“Multi-dimensional Vulnerability Analysis of LM Safety Guards via Role-Goal-Format Decomposition.”

“Teacher-Anchored Worst-Case Stability Distillation for Membership Privacy.”

“Mitigating Cross-Domain Performance Degradation in Time-Series NIDS via LoRA.”

“FAMF: Robust Feature-Level Adversarial Attack on Metric-Based Few-Shot Learning Models.”

“LCK: Label-mixing Complementary Knowledge based Privacy Preserving Method.”

“POP: 확산 모델의 국소 복원 민감도를 활용한 적대적 샘플 탐지 지표 제안.”

“Soft-JMI: 퍼지 집합 이론 기반의 민감 데이터 식별 가능성 평가 지표 연구.”

“Training-free AI 생성 이미지 및 영상 탐지 기법 동향 분석.”

“바이브 코딩 환경에서의 패키지 환각 발생 원리 및 슬롭스쿼팅 공격 사슬.”

“객체 탐지 모델을 대상으로 한 백도어 공격 기법 동향.”

“난해한 프로그래밍 언어를 활용한 언어 모델 탈옥 기법 제안.”

“에이전트 AI의 안전성 및 취약점 검증을 위한 퍼징 기법 동향.”

“연합 학습 기반 안드로이드 악성코드 탐지에서 label flipping attack 방어를 위한 FedLB 집계 기법.”

“연합학습 환경에서 멤버십 추론·모델 포이즈닝·적대적 예제 공격 통합 평가 및 방어 기법 비교.”

“차세대 AI 기반 네트워크 침입 탐지 시스템(NIDS) 연구 동향: 실무적 보안 태스크를 중심으로.”

“페르소나 기반 활성화 스티어링을 활용한 LLM의 계층적 거절 제어 연구.”

2025

“Grid-Based Adversarial Patch Placement Optimization for Enhanced Object Detection Attacks.”

“Self-MCKD: Enhancing the Effectiveness and Efficiency of Knowledge Transfer in Malware Classification.”

“AB-VIP: Attack method using Brightness information for Visibility Improvement of adversarial Perturbations on the NMS algorithm.”

“MalFormer: A Novel Vision Transformer Model for Robust Malware Analysis.”

“POSES: Patch Optimization Strategies for Efficiency and Stealthiness Using eXplainable AI.”

“Electrocardiogram Signal De-Identification Methods for Enhancing Robustness against Membership Inference Attacks.”

“LGGAN: Local-Global Guided Generative Adversarial Network for Adverse-Weather Image Restoration.”

“Two-Stage Filtering-Based Video Augmentation Strategy for rPPG-Based Deepfake Detection under Class Imbalance.”

“거대 언어 모델 탈옥 공격 기법의 정량적 비교 연구.”

“악성코드 난독화 성능 평가에 대한 연구: 데이터 난독화부터 LLM 기반 난독화까지.”

“프레임 기반 딥페이크 탐지를 위한 CNN-UniFormer 하이브리드 모델 연구.”

“DUAE: Diffusion 기반 Unrestricted Adversarial Example 생성 기법.”

“Docker와 Kubernetes의 취약한 보안 설정을 활용한 공격 시나리오 설계 및 구조적 분석.”

“TG-NFGNN: 시간 및 포트 인식 그래프 신경망 기반 네트워크 플로우 악성코드 탐지 시스템.”

“YOLOv9 기반의 실시간 흡연 탐지 시스템.”

“rPPG 기반 딥페이크 탐지에서 주파수 해석 기법의 영향 분석.”

“안드로이드 악성코드 탐지에서 데이터의 수집 조건 차이가 모델 성능에 미치는 영향에 관한 연구.”

“인공지능 기반 네트워크 침입 탐지 시스템의 일반화 한계 검증: 데이터 교차 실험을 중심으로.”

“텍스트 모델에 대한 로짓 공간 최적화 기반 모델 인버전 공격.”

“효율적인 악성코드 분류를 위한 경량 학습 모델 MalDeiT 제안.”

“METHOD FOR RESTORING INPUT DATA AND DEEP LEARNING MODEL THEREFOR.”

“KNOWLEDGE DISTILLATION APPARATUS AND METHOD FOR IMPROVING THE PERFORMANCE OF MALWARE CLASSIFICATION MODEL.”

“APPARATUS AND METHOD FOR GENERATING ADVERSARIAL EXAMPLE BASED ON BRIGHTNESS INFORMATION.”

“APPARATUS AND METHOD FOR ANALYSING MALWARE.”

“DATA PROCESSING APPARATUS AND METHOD FOR NETWORK INTRUSION DETECTION BASED ON MULTI SESSIONIZATION.”

“APPARATUS AND METHOD FOR OPTIMIZING HOSTILE PATCH.”

“APPARATUS AND METHOD FOR DE-IDENTIFYING BIOSIGNAL.”

2024

“Advanced Analysis of Learning-based Spam Email Filtering Methods Based on Feature Distribution Differences of Dataset.”

“Graph Generation Algorithm Based on Multi-Sessionization for Wireless Network Intrusion Detection.”

“A Study on Malware Family Classification Method based on Separable Vision Transformer Using Sharpness-Aware Minimization.”

“Cloud Anomaly Detection Method Using 1-D STM Block-based Stacking CNN Model.”

“ECG Data De-identification-based Defense Methods against Model Extraction Attack.”

“Improving Graph-Based Malware Detection Performance using Centrality Features.”

“Investigating the Vulnerability of 3D Point Cloud Classifiers to Backdoor Attacks Leveraging Transfer Learning.”

“NSL-MHA : Proposing an Adversarial Training Method for Cloud Anomaly Detection Model.”

“Graph Transformer Network 기반 무선 네트워크 침입 탐지 시스템.”

“PSNR과 SSIM을 활용한 NMS 알고리즘 대상 Adversarial Examples 분석.”

“STC-NSL-MHA : 클라우드 이상 행위 탐지 모델의 적대적 공격 방어 기법 제안.”

“샘플링 기반 멤버십 추론 공격을 통한 자연어 처리 모델의 프라이버시 취약성 평가.”

“Data-Localization 환경에서의 White-Box Model Inversion Attack 시나리오.”

“LOAP:설명가능한 인공지능을 활용한 적대적 패치 위치 최적화 기법 제안.”

“RegionViT 기반 악성코드 유형 분류 기법.”

“안드로이드 랜섬웨어 탐지를 위한 상관 분석 기반 특징 추출 방안.”

“효율적인 네트워크 침입 탐지를 위한 DQN 멀티 에이전트 프레임 워크.”

“안드로이드 랜섬웨어 탐지를 위한 Chi-square 기반 특징 추출 방안.”

2023

“PIHA: Detection method using perceptual image hashing against query-based adversarial attacks.”

“Instance-agnostic and practical clean label backdoor attack method for deep learning based face recognition models.”

“반입금지 물품의 X-ray 데이터에 대한 딥러닝 모델의 instance segmentation 결과 비교 및 검증.”

“원격의료 보안 취약점 분석: 사고 사례를 중심으로.”

“Centrality를 활용한 그래프 기반 악성코드 탐지 성능 향상 방안.”

“Cross-Attention Multi-Scale Vision Transformer 기반의 악성코드 유형 분류 기법.”

“DP-SGD 알고리즘을 활용한 의료 데이터 개인정보 보호 평가에 대한 연구.”

“Dense Adversary Generation 공격의 신호등 인식 모델 적용 가능성에 대한 연구.”

“Stacking CNN을 활용한 클라우드 시스템 내 이상 탐지 모델.”