CV

Ph.D. in Electrical and Computer Engineering

• Thesis: Solving Contemporary Security Problems in Deep Learning
• Advisor: Yunheung Paek

BEng in Electrical and Electronic Engineering

Assistant Professor

Postdoctoral Researcher

• Advisor: Yunheung Paek

Lecturer

Lecturer

VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification

• Yungi Cho, Woorim Han, Miseon Yu, Younghan Lee, Ho Bae, Yunheung Paek.
• European Symposium on Research in Computer Security (ESORICS).

FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models

• Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek.
• European Symposium on Research in Computer Security (ESORICS).

Exploring Clustered Federated Learning's Vulnerability against Property Inference Attack

• Hyunjun Kim, Yungi Cho, Younghan Lee, Ho Bae, Yunheung Paek.
• International Symposium on Research in Attacks, Intrusions and Defenses (RAID).

Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices

• Younghan Lee, Sohee Jun, Yungi Cho, Woorim Han, Hyungon Moon, Yunheung Paek.
• European Symposium on Research in Computer Security (ESORICS).

A Pilot Study of Machine-Learning-Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

• So Im Ryu, Younghan Lee, Sohee Jun, Yunheung Paek, Hongsoo Kim, BeLong Cho, Yeon-Hwan Park.
• Computers, Informatics, Nursing (CIN).

Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers

• Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek.
• IEEE Transactions on Artificial Intelligence.

Hawkware: Network Intrusion Detection Based on Behavior Analysis with ANNs on an IoT Device

• Sunwoo Ahn, Hayoon Yi, Younghan Lee, Whoi Ree Ha, Giyeol Kim, Yunheung Paek.
• Design Automation Conference (DAC).

RiskiM: Toward Complete Kernel Protection with Hardware Support

• Dongil Hwang, Myonghoon Yang, Seongil Jeon, Younghan Lee, Donghyun Kwon, Yunheung Paek.
• Design, Automation & Test in Europe Conference & Exhibition (DATE).

Mimicry Resilient Program Behavior Modeling with LSTM Based Branch Models

• Hayoon Yi, Gyuwan Kim, Jangho Lee, Sunwoo Ahn, Younghan Lee, Sungroh Yoon, Yunheung Paek.
• Deep Learning and Security Workshop.

Motion Tracking System for the Analysis of the Activity and Emotional Patterns of Pets with Deep Learning

Development of Artificial Intelligence-Based Phishing Attack Prevention and Performance Verification Technology

Deriving Differential Privacy Concepts Applicable to National Statistical Data and Addressing Issues to Ensure the Usefulness of Statistical Analysis

Research on Applying Artificial Intelligence on Medical Data

Protecting Images from Cyber Phishing Attacks Using De-identification

Developing Differential Privacy Based Image Generation Artificial Intelligence

Research on Applying Machine Learning on Health and Nursing Data

Development of Intelligent Security Threat Countermeasure Solution Based on Artificial Intelligence

Development of Programmable IPs and Unified SDK to Enable Building Security-Integrated Computer Systems

Development of Cloud-Based Intelligent Security Technology for Providing Customized Security Services

Development of Network Anomaly Detection

AI Programming (5048923201)

Machine Learning-Based Communication Networks Security (1000717-001)

Seminars on Security and Privacy in Deep Learning

Seminars on Security and Privacy in Deep Learning

Seminars on Theory of Information Security

Teaching Assistant in Cyber Security and Blockchain