Sangkyun Lee

Korea University

South Korea

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Articles (11)

CODE-SMASH: Source-Code Vulnerability Detection Using Siamese and Multi-Level Neural Architecture

Year:

2024

Similarity-Based Source Code Vulnerability Detection Leveraging Transformer Architecture: Harnessing Cross- Attention for Hierarchical Analysis

Year:

2024

Anomaly Candidate Extraction and Detection for automatic quality inspection of metal casting products using high-resolution images

Year:

2023

Activation Fine-Tuning of Convolutional Neural Networks for Improved Input Attribution Based on Class Activation Maps

Year:

2022

Foreword to the Special Issue on Advances in Secure AI: Technology and Applications

Year:

2022

Anomaly Detection in Multi-Host Environment Based on Federated Hypersphere Classifier

Year:

2022

Improving the Robustness of Model Compression by On-Manifold Adversarial Training

Year:

2021

Robust CNN Compression Framework for Security-Sensitive Embedded Systems

Year:

2021

Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data

Year:

2021

Hunt for Unseen Intrusion: Multi-Head Self-Attention Neural Detector

Year:

2021

Sparse portfolio selection via the sorted ℓ<inf>1</inf>-Norm

Year:

2020

Collaborators (1)

Sandra Paterlini

University of Trento

ITALY

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