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Kangsoo Jung
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2020 – today
- 2024
- [c19]Andreas Athanasiou
, Kangsoo Jung
, Catuscia Palamidessi
:
Poster: Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling. CCS 2024: 5036-5038 - [c18]Ruta Binkyte, Carlos Pinzón, Szilvia Lestyan, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi:
Causal Discovery Under Local Privacy. CLeaR 2024: 325-383 - [c17]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurélie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. ICDAR (6) 2024: 199-218 - [i10]Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. CoRR abs/2411.03730 (2024) - [i9]Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi:
Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling. CoRR abs/2411.06458 (2024) - 2023
- [j2]Filippo Galli, Kangsoo Jung, Sayan Biswas
, Catuscia Palamidessi, Tommaso Cucinotta:
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. SN Comput. Sci. 4(6): 831 (2023) - [c16]Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi:
Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. FPS (1) 2023: 440-458 - [c15]Filippo Galli, Sayan Biswas
, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi:
Group Privacy for Personalized Federated Learning. ICISSP 2023: 252-263 - [i8]Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta:
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. CoRR abs/2309.00416 (2023) - [i7]Ruta Binkyte, Carlos Pinzón, Szilvia Lestyán, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi:
Causal Discovery Under Local Privacy. CoRR abs/2311.04037 (2023) - [i6]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. CoRR abs/2312.10108 (2023) - 2022
- [i5]Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi:
Tight Differential Privacy Blanket for Shuffle Model. CoRR abs/2205.04410 (2022) - [i4]Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi:
Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. CoRR abs/2205.08858 (2022) - [i3]Filippo Galli, Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi, Tommaso Cucinotta:
Group privacy for personalized federated learning. CoRR abs/2206.03396 (2022) - 2021
- [c14]Kangsoo Jung, Sayan Biswas
, Catuscia Palamidessi:
Establishing the Price of Privacy in Federated Data Trading. Protocols, Strands, and Logic 2021: 232-250 - [c13]Sayan Biswas
, Kangsoo Jung, Catuscia Palamidessi:
An Incentive Mechanism for Trading Personal Data in Data Markets. ICTAC 2021: 197-213 - [i2]Sayan Biswas
, Kangsoo Jung, Catuscia Palamidessi:
An Incentive Mechanism for Trading Personal Data in Data Markets. CoRR abs/2106.14187 (2021) - [i1]Kangsoo Jung, Sayan Biswas
, Catuscia Palamidessi:
Establishing the Price of Privacy in Federated Data Trading. CoRR abs/2111.15415 (2021) - 2020
- [j1]Taewhan Kim, Kangsoo Jung, Seog Park:
Sparsity Reduction Technique Using Grouping Method for Matrix Factorization in Differentially Private Recommendation Systems. IEICE Trans. Inf. Syst. 103-D(7): 1683-1692 (2020)
2010 – 2019
- 2019
- [c12]Kangsoo Jung, Seog Park:
Privacy Bargaining with Fairness: Privacy-Price Negotiation System for Applying Differential Privacy in Data Market Environments. IEEE BigData 2019: 1389-1394 - [c11]Kangsoo Jung, Junkyu Lee
, Kunyoung Park, Seog Park:
PRIVATA: Differentially Private Data Market Framework using Negotiation-based Pricing Mechanism. CIKM 2019: 2897-2900 - 2018
- [c10]Kangsoo Jung, Jaewon Kim, Youngjun Kim, Seog Park:
DRAKO: Differentially pRivate Algorithm to meet K-anonymity for Online portal service. IEEE BigData 2018: 5345-5347 - 2017
- [c9]Taebo Jung, Kangsoo Jung, Sehwa Park, Seog Park:
A noise parameter configuration technique to mitigate detour inference attack on differential privacy. BigComp 2017: 186-192 - [c8]Kangsoo Jung, Seog Park:
Collaborative caching techniques for privacy-preserving location-based services in peer-to-peer environments. IEEE BigData 2017: 4497-4506 - [c7]Kangsoo Jung, Seog Park:
Grayscale access control: Applying differential privacy to access control for Internet of Thing environment. ICTC 2017: 849-854 - 2015
- [c6]Kangsoo Jung, Seongyong Jo, Seog Park:
A game theoretic approach for collaborative caching techniques in privacy preserving location-based services. BigComp 2015: 59-62 - 2014
- [c5]Kangsoo Jung, Sehwa Park, Seog Park:
Hiding a Needle in a Haystack: Privacy Preserving Apriori algorithm inMapReduce Framework. PSBD@CIKM 2014: 11-17 - [c4]Yuna Oh, Kangsoo Jung, Seog Park:
A Privacy Preserving Technique to Prevent Sensitive Behavior Exposure in Semantic Location-based Service. KES 2014: 318-327 - 2013
- [c3]Chungha Kim, Kangsoo Jung, Seog Park:
A Method of Pre-detecting Privacy Leak in Social Network Service Using Collaborative Filtering. DASFAA Workshops 2013: 153-163
2000 – 2009
- 2008
- [c2]Jaehoon Kim, Kangsoo Jung, Seog Park:
An RDF triple based access authorization specification considering subsumption relationships. ICDE Workshops 2008: 462-469 - [c1]Jaehoon Kim, Kangsoo Jung, Seog Park:
An Introduction to Authorization Conflict Problem in RDF Access Control. KES (2) 2008: 583-592
Coauthor Index
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