4 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kootenay Association for Science & TechnologyCA2 papers
- Korea Advanced Institute of Science and TechnologyKR2 papers
- Catholic University of KoreaKR1 paper
- Daejin UniversityKR1 paper
- Dongduk Women's UniversityKR1 paper
- ETH ZurichCH1 paper
- Jeonbuk National UniversityKR1 paper
- Kangwon National UniversityKR1 paper
- Korea UniversityKR1 paper
- Kyung Hee UniversityKR1 paper
- Military UniversityRU1 paper
- Nanyang Technological UniversitySG1 paper
6 papers
MIFA: An MILP-based Framework for Improving Differential Fault Attacks
Hanbeom Shin, Insung Kim, Sunyeop Kim +6
At ASIACRYPT 2021, Baksi et al. introduced DEFAULT, a block cipher designed to algorithmically resist Differential Fault Attack (DFA), claiming 64-bit DFA security regardless of th…
Convolutional Neural Shading for High-Quality 3D Reconstruction from Multi-View Images
Juheon Hwang, Taewan Kim, Heeseok Oh +1
We propose a convolutional neural shading (CNS), a novel pipeline to reconstruct high-quality 3D shapes from multi-view images. Several recent studies have used neural radiance fie…
VRGaussianAvatar: Integrating 3D Gaussian Avatars into VR
Hail Song, Boram Yoon, Seokhwan Yang +4
We present VRGaussianAvatar, an integrated system that enables real-time full-body 3D Gaussian Splatting (3DGS) avatars in virtual reality using only head-mounted display (HMD) tra…
Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation
Youngjoon Lee, Taehyun Park, Yunho Lee +2
Federated Learning (FL) is increasingly being adopted in military collaborations to develop Large Language Models (LLMs) while preserving data sovereignty. However, prompt injectio…
KTRL+F: Knowledge-Augmented In-Document Search
Hanseok Oh, Haebin Shin, Miyoung Ko +2
We introduce a new problem KTRL+F, a knowledge-augmented in-document search task that necessitates real-time identification of all semantic targets within a document with the aware…
Seeded Ising Model and Statistical Natures of Human Iris Templates
Song-Hwa Kwon, Hyeong In Choi, Sung Jin Lee +1
We propose a variant of Ising model, called the Seeded Ising Model, to model probabilistic nature of human iris templates. This model is an Ising model in which the values at certa…