Seok-Hwan Choi

Orcid: 0000-0003-3590-6024

Affiliations:
  • Yonsei University, Wonju, South Korea
  • Pusan National University, Busan, South Korea (PhD 2022)


According to our database1, Seok-Hwan Choi authored at least 24 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FAMF: Robust Feature-Level Adversarial Attack on Metric-Based Few-Shot Learning Models.
IEEE Access, 2026

2025
DPAC: Distribution-Preserving Adversarial Control for Diffusion Sampling.
CoRR, December, 2025

POSES: Patch Optimization Strategies for Efficiency and Stealthiness Using eXplainable AI.
IEEE Access, 2025

AB-VIP: Attack Method Using Brightness Information for Visibility Improvement of Adversarial Perturbations on the NMS Algorithm.
IEEE Access, 2025

MalFormer: A Novel Vision Transformer Model for Robust Malware Analysis.
IEEE Access, 2025

2024
Advanced Analysis of Learning-Based Spam Email Filtering Methods Based on Feature Distribution Differences of Dataset.
IEEE Access, 2024

2023
PIHA: Detection method using perceptual image hashing against query-based adversarial attacks.
Future Gener. Comput. Syst., August, 2023

Instance-Agnostic and Practical Clean Label Backdoor Attack Method for Deep Learning Based Face Recognition Models.
IEEE Access, 2023

2022
Clustering Approach for Detecting Multiple Types of Adversarial Examples.
Sensors, 2022

A Study on Prevention and Automatic Recovery of Blockchain Networks Against Persistent Censorship Attacks.
IEEE Access, 2022

CodeNet: Code-Targeted Convolutional Neural Network Architecture for Smart Contract Vulnerability Detection.
IEEE Access, 2022

ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples.
IEEE Access, 2022

2021
EEJE: Two-Step Input Transformation for Robust DNN Against Adversarial Examples.
IEEE Trans. Netw. Sci. Eng., 2021

Is Homomorphic Encryption-Based Deep Learning Secure Enough?
Sensors, 2021

2020
Robust Indoor Localization Methods Using Random Forest-Based Filter against MAC Spoofing Attack.
Sensors, 2020

Structural Image De-Identification for Privacy-Preserving Deep Learning.
IEEE Access, 2020

2019
Dynamic Nonparametric Random Forest Using Covariance.
Secur. Commun. Networks, 2019

Unsupervised multi-stage attack detection framework without details on single-stage attacks.
Future Gener. Comput. Syst., 2019

Robustness Analysis of CNN-based Malware Family Classification Methods Against Various Adversarial Attacks.
Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2018
Privacy-Preserving Compressed Reference-Oriented Alignment Map Using Decentralized Storage.
IEEE Access, 2018

Memory-Efficient Random Forest Generation Method for Network Intrusion Detection.
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018

2017
Wireless intrusion prevention system using dynamic random forest against wireless MAC spoofing attack.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2017

2016
STEAL: Service Time-Aware Load balancer on many-core processors for fast intrusion detection.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

2015
Timely login status control using mobile app.
Proceedings of the 2015 IEEE Conference on Communications and Network Security, 2015


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