kwangjo kim

KAIST

H-index: 48

Asia-South Korea

About kwangjo kim

kwangjo kim, With an exceptional h-index of 48 and a recent h-index of 24 (since 2020), a distinguished researcher at KAIST, specializes in the field of Information Security, Cryptography.

His recent articles reflect a diverse array of research interests and contributions to the field:

Theoretical and Empirical Analysis of FALCON and SOLMAE Using Their Python Implementation

Two-dimensional projection-based wireless intrusion classification using lightweight efficientnet

Multi-class intrusion detection using two-channel color mapping in IEEE 802.11 wireless Network

Privacy-preserving federated learning

Attacks on Deep Learning and Their Countermeasures

Pros and Cons of X-Based PPDL

Privacy-preserving Deep Learning: A Comprehensive Survey

X-Based PPDL

kwangjo kim Information

University	KAIST
Position	Professor Computer Science Department
Citations(all)	10227
Citations(since 2020)	2275
Cited By	13139
hIndex(all)	48
hIndex(since 2020)	24
i10Index(all)	152
i10Index(since 2020)	52
Email	Access Email
University Profile Page	KAIST
Google Scholar	View Google Scholar Profile

kwangjo kim Skills & Research Interests

Information Security

Cryptography

Top articles of kwangjo kim

Title	Journal	Author(s)	Publication Date
Theoretical and Empirical Analysis of FALCON and SOLMAE Using Their Python Implementation		Kwangjo Kim	2023/11/29
Two-dimensional projection-based wireless intrusion classification using lightweight efficientnet	Computers, Materials & Continua	Muhamad Erza Aminanto Ibnu Rifqi Purbomukti Harry Chandra Kwangjo Kim	2022/4
Multi-class intrusion detection using two-channel color mapping in IEEE 802.11 wireless Network	IEEE Access	Muhamad Erza Aminanto R Satrio Hariomurti Wicaksono Achmad Eriza Aminanto Harry Chandra Tanuwidjaja Lin Yola ...	2022/4/1
Privacy-preserving federated learning	Privacy-Preserving Deep Learning: A Comprehensive Survey	Kwangjo Kim Harry Chandra Tanuwidjaja Kwangjo Kim Harry Chandra Tanuwidjaja	2021
Attacks on Deep Learning and Their Countermeasures	Privacy-Preserving Deep Learning: A Comprehensive Survey	Kwangjo Kim Harry Chandra Tanuwidjaja Kwangjo Kim Harry Chandra Tanuwidjaja	2021
Pros and Cons of X-Based PPDL	Privacy-Preserving Deep Learning: A Comprehensive Survey	Kwangjo Kim Harry Chandra Tanuwidjaja Kwangjo Kim Harry Chandra Tanuwidjaja	2021
Privacy-preserving Deep Learning: A Comprehensive Survey		Kwangjo Kim Harry Chandra Tanuwidjaja	2021/7/22
X-Based PPDL	Privacy-Preserving Deep Learning: A Comprehensive Survey	Kwangjo Kim Harry Chandra Tanuwidjaja Kwangjo Kim Harry Chandra Tanuwidjaja	2021
big trends	COMMUNICATIONS OF THE ACM	RAPHAËL CW PHAN MASAYUKI ABE LYNN BATTEN JUNG HEE CHEON ED DAWSON ...	2020/4
Advances in security research in the Asiacrypt region	Communications of the ACM	Raphaël CW Phan Masayuki Abe Lynn Batten Jung Hee Cheon Ed Dawson ...	2020/3/20
Implementation of tree-based dynamic group key exchange with newhope		Rakyong Choi Dongyeon Hong Kwangjo Kim	2020
Privacy-preserving deep learning on machine learning as a service—a comprehensive survey		Harry Chandra Tanuwidjaja Rakyong Choi Seunggeun Baek Kwangjo Kim	2020/9/10
Constant-round dynamic group key exchange from RLWE assumption	Cryptology ePrint Archive	Rakyong Choi Dongyeon Hong Kwangjo Kim	2020
Design and implementation of constant-round dynamic group key exchange from RLWE	IEEE Access	Rakyong Choi Dongyeon Hong Seongho Han Seunggeun Baek Wooseok Kang ...	2020/5/8