Kangsoo Jung - RankMe

38 papers A* 2A 1B 1C 2Journal 17Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Protection against Source Inference Attacks in Federated Learning. CoRR Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi
2025	A*	`conf`	DocVXQA: Context-Aware Visual Explanations for Document Question Answering. ICML Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky, Kangsoo Jung, Ernest Valveny, Dimosthenis Karatzas
2025	J	`jnl`	DocVXQA: Context-Aware Visual Explanations for Document Question Answering. CoRR Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky, Kangsoo Jung, Ernest Valveny, Dimosthenis Karatzas
2025	J	`jnl`	Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks. CoRR Judith Sáinz-Pardo Díaz, Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi, Álvaro López García
2025	—	`conf`	Mitigating Membership Inference Vulnerability in Iterative Federated Clustering Algorithm. ARTMAN@CCS Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
2025	J	`jnl`	Mitigating Membership Inference Vulnerability in Personalized Federated Learning. CoRR Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
2025	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. Trans. Mach. Learn. Res. 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
2024	—	`conf`	Causal Discovery Under Local Privacy. CLeaR Ruta Binkyte, Carlos Pinzón, Szilvia Lestyan, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi
2024	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. CoRR 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
2024	A*	`conf`	Poster: Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling. CCS Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi
2024	—	`conf`	Privacy-Aware Document Visual Question Answering. ICDAR (6) 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
2024	J	`jnl`	Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling. CoRR Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi
2023	J	`jnl`	Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. CoRR Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta
2023	J	`jnl`	Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. SN Comput. Sci. Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta
2023	J	`jnl`	Causal Discovery Under Local Privacy. CoRR Ruta Binkyte, Carlos Pinzón, Szilvia Lestyán, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi
2023	C	`conf`	Group Privacy for Personalized Federated Learning. ICISSP Filippo Galli, Sayan Biswas, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi
2023	J	`jnl`	Privacy-Aware Document Visual Question Answering. CoRR Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2023	—	`conf`	Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. FPS (1) Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2022	J	`jnl`	Group privacy for personalized federated learning. CoRR Filippo Galli, Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi, Tommaso Cucinotta
2022	J	`jnl`	Tight Differential Privacy Blanket for Shuffle Model. CoRR Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2022	J	`jnl`	Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. CoRR Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2021	C	`conf`	An Incentive Mechanism for Trading Personal Data in Data Markets. ICTAC Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2021	J	`jnl`	An Incentive Mechanism for Trading Personal Data in Data Markets. CoRR Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2021	—	`conf`	Establishing the Price of Privacy in Federated Data Trading. Protocols, Strands, and Logic Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
2021	J	`jnl`	Establishing the Price of Privacy in Federated Data Trading. CoRR Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
2020	J	`jnl`	Sparsity Reduction Technique Using Grouping Method for Matrix Factorization in Differentially Private Recommendation Systems. IEICE Trans. Inf. Syst. Taewhan Kim, Kangsoo Jung, Seog Park
2019	A	`conf`	PRIVATA: Differentially Private Data Market Framework using Negotiation-based Pricing Mechanism. CIKM Kangsoo Jung, Junkyu Lee, Kunyoung Park, Seog Park
2019	—	`conf`	Privacy Bargaining with Fairness: Privacy-Price Negotiation System for Applying Differential Privacy in Data Market Environments. IEEE BigData Kangsoo Jung, Seog Park
2018	—	`conf`	DRAKO: Differentially pRivate Algorithm to meet K-anonymity for Online portal service. IEEE BigData Kangsoo Jung, Jaewon Kim, Youngjun Kim, Seog Park
2017	—	`conf`	A noise parameter configuration technique to mitigate detour inference attack on differential privacy. BigComp Taebo Jung, Kangsoo Jung, Sehwa Park, Seog Park
2017	—	`conf`	Collaborative caching techniques for privacy-preserving location-based services in peer-to-peer environments. IEEE BigData Kangsoo Jung, Seog Park
2017	—	`conf`	Grayscale access control: Applying differential privacy to access control for Internet of Thing environment. ICTC Kangsoo Jung, Seog Park
2015	—	`conf`	A game theoretic approach for collaborative caching techniques in privacy preserving location-based services. BigComp Kangsoo Jung, Seongyong Jo, Seog Park
2014	B	`conf`	A Privacy Preserving Technique to Prevent Sensitive Behavior Exposure in Semantic Location-based Service. KES Yuna Oh, Kangsoo Jung, Seog Park
2014	—	`conf`	Hiding a Needle in a Haystack: Privacy Preserving Apriori algorithm inMapReduce Framework. PSBD@CIKM Kangsoo Jung, Sehwa Park, Seog Park
2013	—	`conf`	A Method of Pre-detecting Privacy Leak in Social Network Service Using Collaborative Filtering. DASFAA Workshops Chungha Kim, Kangsoo Jung, Seog Park
2008	—	`conf`	An Introduction to Authorization Conflict Problem in RDF Access Control. KES (2) Jaehoon Kim, Kangsoo Jung, Seog Park
2008	—	`conf`	An RDF triple based access authorization specification considering subsumption relationships. ICDE Workshops Jaehoon Kim, Kangsoo Jung, Seog Park