Scholar
Young-Sik Kim
Google Scholar ID: pw4KEiAAAAAJ
Professor, Depart. Electrical Engineering and Computer Science, DGIST
Post-Quantum Cryptography
Fully Homomorphic Encryption
Privacy-Preserving Machine Learning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
2,812
H-index
26
i10-index
60
Publications
20
Co-authors
0
Publications
8 items
Singleton-Optimal Rank-Metric CSS Codes : Equality Structure and Exact Projected-Recovery Radii
2026
Cited
0
HE-Guardrail: A Homomorphic Guardrail Against Jailbreak Attacks for Encrypted Large Language Model Inference
2026
Cited
0
Compression Asymmetry and Trajectory Binding in Noise-Anchored Diffusion Inversion
2026
Cited
0
CORE-BREW: LLR-Based Soft Decoding for Robust Multi-Bit LLM Watermarking
2026
Cited
0
Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking
2026
Cited
0
Efficient Softmax Reformulation for Homomorphic Encryption via Moment Generating Function
2026
Cited
0
Mutual Information Minimization for Side-Channel Attack Resistance via Optimal Noise Injection
2025
Cited
0
Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
2023
Cited
3
