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Kangsoo Jung
Kangsoo Jung
Postdoctoral Researcher, INRIA
Verified email at inria.fr
Title
Cited by
Cited by
Year
An introduction to authorization conflict problem in RDF access control
J Kim, K Jung, S Park
Knowledge-Based Intelligent Information and Engineering Systems: 12th …, 2008
242008
Collaborative caching techniques for privacy-preserving location-based services in peer-to-peer environments
K Jung, S Park
2017 IEEE International Conference on Big Data (Big Data), 4497-4506, 2017
142017
Privacy bargaining with fairness: Privacy-price negotiation system for applying differential privacy in data market environments
K Jung, S Park
2019 IEEE International Conference on Big Data (Big Data), 1389-1394, 2019
132019
Group privacy for personalized federated learning
F Galli, S Biswas, K Jung, T Cucinotta, C Palamidessi
arXiv preprint arXiv:2206.03396, 2022
102022
Hiding a needle in a haystack: privacy preserving apriori algorithm inmapreduce framework
K Jung, S Park, S Park
Proceedings of the First International Workshop on Privacy and Secuirty of …, 2014
102014
Context-aware role based access control using user relationship
K Jung, S Park
International Journal of Computer Theory and Engineering 5 (3), 533, 2013
102013
A noise parameter configuration technique to mitigate detour inference attack on differential privacy
T Jung, K Jung, S Park, S Park
2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017
92017
A privacy preserving technique to prevent sensitive behavior exposure in semantic location-based service
Y Oh, K Jung, S Park
Procedia Computer Science 35, 318-327, 2014
82014
PRIVATA: differentially private data market framework using negotiation-based pricing mechanism
K Jung, J Lee, K Park, S Park
Proceedings of the 28th ACM International Conference on Information and …, 2019
72019
An adaptive window size selection method for differentially private data publishing over infinite trajectory stream
G Jo, K Jung, S Park
Journal of Advanced Transportation 2018, 2018
62018
A game theoretic approach for collaborative caching techniques in privacy preserving location-based services
K Jung, S Jo, S Park
2015 International Conference on Big Data and Smart Computing (BIGCOMP), 59-62, 2015
62015
Establishing the price of privacy in federated data trading
K Jung, S Biswas, C Palamidessi
Protocols, Strands, and Logic: Essays Dedicated to Joshua Guttman on the …, 2021
42021
An incentive mechanism for trading personal data in data markets
S Biswas, K Jung, C Palamidessi
Theoretical Aspects of Computing–ICTAC 2021: 18th International Colloquium …, 2021
42021
Grayscale access control: Applying differential privacy to access control for Internet of Thing environment
K Jung, S Park
2017 International Conference on Information and Communication Technology …, 2017
42017
An RDF triple based access authorization specification considering subsumption relationships
J Kim, K Jung, S Park
2008 IEEE 24th International Conference on Data Engineering Workshop, 462-469, 2008
42008
A Novel Privacy Preserving Association Rule Mining using Hadoop
K Jung, S Park, S Cho, S Park
The Third International Conference on Data Analytics, 131-137, 2014
32014
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
F Galli, K Jung, S Biswas, C Palamidessi, T Cucinotta
SN Computer Science 4 (6), 831, 2023
22023
Robust Data, Event, and Privacy Services in Real-Time Embedded Sensor Network Systems
KS Jung, K Kapitanova, SH Son, S Park
Journal of KIISE: Databases 37 (6), 324-332, 2010
22010
Privacy-Aware Document Visual Question Answering
R Tito, K Nguyen, M Tobaben, R Kerkouche, MA Souibgui, K Jung, ...
arXiv preprint arXiv:2312.10108, 2023
12023
Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response
S Biswas, K Jung, C Palamidessi
International Symposium on Foundations and Practice of Security, 440-458, 2023
12023
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