Kangsoo Jung

Postdoc, COMETE, INRIA

Joined

August 2022

Names

Kangsoo Jung (Preferred)

Emails

****@naver.com (Confirmed)

****@inria.fr (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Postdoc

COMETE, INRIA (inria.fr)

2020 – 2026

Advisors, Relations & Conflicts

Postdoc Advisor

Catuscia Palamidessi

2020 – 2024

PhD Advisor

Seog Park

2012 – 2020

Expertise

machine learning

2020 – 2024

differential privacy

2017 – 2024

Publications

Selective Disclosure: Controlling Information Leakage in DocVQA Explanations
Kangsoo Jung, Mohamed Ali Souibgui, Changkyu Choi, Catuscia Palamidessi
- ICLR 2026 Trustworthy AI
- Readers: Everyone
Protection against Source Inference Attacks in Federated Learning
Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi
- ICLR 2026 Poster
- Readers: Everyone
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky, Kangsoo Jung, Ernest Valveny, Dimosthenis Karatzas
- International Conference on Machine learning (ICML 2025)
- Readers: Everyone
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky, Kangsoo Jung, Ernest Valveny, Dimosthenis Karatzas
- ICML 2025 poster
- Readers: Everyone
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
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 et al. (7 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Privacy-aware document visual question answering
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
- ICDAR 2024
- Readers: Everyone
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
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 et al. (7 additional authors not shown)
- Submitted to NeurIPS 2024 Track Datasets and Benchmarks
- Readers: Everyone
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta
- Published: 01 Jan 2023, Last Modified: 17 Nov 2023
- CoRR 2023
- Readers: Everyone
Group privacy for personalized federated learning
Filippo Galli, Sayan Biswas, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Oral
- Readers: Everyone
Establishing the Price of Privacy in Federated Data Trading
Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
- Published: 01 Jan 2021, Last Modified: 17 Nov 2023
- Protocols, Strands, and Logic 2021
- Readers: Everyone

View all 11 publications

Co-Authors

View all 33 co-authors