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Publication search results
found 232 matches
- 2024
- Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim:
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples. AAAI 2024: 13104-13112 - Yongdae Kim, Jong Kim, Farinaz Koushanfar, Kasper Rasmussen:
Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2024, Seoul, Republic of Korea, May 27-29, 2024. ACM 2024 [contents] - Insung Kong, Yongdai Kim:
Posterior concentrations of fully-connected Bayesian neural networks with general priors on the weights. CoRR abs/2403.14225 (2024) - Taekkyung Oh, Sangwook Bae, Junho Ahn, Yonghwa Lee, Dinh-Tuan Hoang, Min Suk Kang, Nils Ole Tippenhauer, Yongdae Kim:
Enabling Physical Localization of Uncooperative Cellular Devices. CoRR abs/2403.14963 (2024) - 2023
- Kuhwan Jeong, Minwoo Chae, Yongdai Kim:
Online learning for the Dirichlet process mixture model via weakly conjugate approximation. Comput. Stat. Data Anal. 179: 107626 (2023) - Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin:
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models. J. Mach. Learn. Res. 24: 77:1-77:42 (2023) - Seonghyeon Kim, Sara Kim, Kunwoong Kim, Yongdai Kim:
Lq regularization for fair artificial intelligence robust to covariate shift. Stat. Anal. Data Min. 16(3): 237-256 (2023) - Dohyun Kim, ManGi Cho, Hocheol Shin, Jaehoon Kim, Juhwan Noh, Yongdae Kim:
Lightbox: Sensor Attack Detection for Photoelectric Sensors via Spectrum Fingerprinting. ACM Trans. Priv. Secur. 26(4): 46:1-46:30 (2023) - Dongkwan Kim, Eunsoo Kim, Sang Kil Cha, Sooel Son, Yongdae Kim:
Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned. IEEE Trans. Software Eng. 49(4): 1661-1682 (2023) - Daegeun Yoon, Taejoong Chung, Yongdae Kim:
Delegation of TLS Authentication to CDNs using Revocable Delegated Credentials. ACSAC 2023: 113-123 - Dongyoon Yang, Insung Kong, Yongdai Kim:
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation. ICCV 2023: 4529-4538 - Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim:
Covariate balancing using the integral probability metric for causal inference. ICML 2023: 17430-17461 - Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim:
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. ICML 2023: 17462-17491 - Dongyoon Yang, Insung Kong, Yongdai Kim:
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples. ICML 2023: 39331-39348 - Joon-Ha Jang, ManGi Cho, Jaehoon Kim, Dongkwan Kim, Yongdae Kim:
Paralyzing Drones via EMI Signal Injection on Sensory Communication Channels. NDSS 2023 - Jinseob Jeong, Dongkwan Kim, Joon-Ha Jang, Juhwan Noh, Changhun Song, Yongdae Kim:
Un-Rocking Drones: Foundations of Acoustic Injection Attacks and Recovery Thereof. NDSS 2023 - Beomseok Oh, Junho Ahn, Sangwook Bae, Mincheol Son, Yonghwa Lee, Min Suk Kang, Yongdae Kim:
Preventing SIM Box Fraud Using Device Model Fingerprinting. NDSS 2023 - Eunsoo Kim, Min Woo Baek, CheolJun Park, Dongkwan Kim, Yongdae Kim, Insu Yun:
BASECOMP: A Comparative Analysis for Integrity Protection in Cellular Baseband Software. USENIX Security Symposium 2023: 3547-3563 - Tuan Dinh Hoang, CheolJun Park, Mincheol Son, Taekkyung Oh, Sangwook Bae, Junho Ahn, Beomseok Oh, Yongdae Kim:
LTESniffer: An Open-source LTE Downlink/Uplink Eavesdropper. WISEC 2023: 43-48 - Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim:
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models. CoRR abs/2301.04257 (2023) - Sara Kim, Kyusang Yu, Yongdai Kim:
Within-group fairness: A guidance for more sound between-group fairness. CoRR abs/2301.08375 (2023) - Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim:
Covariate balancing using the integral probability metric for causal inference. CoRR abs/2305.13715 (2023) - Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim:
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. CoRR abs/2305.14765 (2023) - Ilsang Ohn, Lizhen Lin, Yongdai Kim:
A Bayesian sparse factor model with adaptive posterior concentration. CoRR abs/2305.18488 (2023) - Dongyoon Yang, Kunwoong Kim, Yongdai Kim:
Improving Performance of Semi-Supervised Learning by Adversarial Attacks. CoRR abs/2308.04018 (2023) - Dongyoon Yang, Insung Kong, Yongdai Kim:
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation. CoRR abs/2308.04061 (2023) - 2022
- Ilsang Ohn, Yongdai Kim:
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality. Neural Comput. 34(2): 476-517 (2022) - Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim:
SLIDE: A surrogate fairness constraint to ensure fairness consistency. Neural Networks 154: 441-454 (2022) - Woosung Kim, Seonghyeon Kim, Myung Hwan Na, Yongdai Kim:
A modified least angle regression algorithm for interaction selection with heredity. Stat. Anal. Data Min. 15(5): 630-647 (2022) - Jeongyoon Heo, Sangwon Gil, Youngman Jung, Jinmok Kim, Donguk Kim, Woojin Park, Yongdae Kim, Kang G. Shin, Choong-Hoon Lee:
Are There Wireless Hidden Cameras Spying on Me? ACSAC 2022: 714-726
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