Jinhyun So

Assistant Professor, Daegu Gyeongbuk Institute of Science and Technology

Joined

May 2021

Names

Jinhyun So (Preferred)

Jin Hyun So

Emails

****@usc.edu (Confirmed)

****@gmail.com (Confirmed)

****@dgist.ac.kr (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Daegu Gyeongbuk Institute of Science and Technology (dgist.ac.kr)

2024 – Present

Researcher

Samsung (samsung.com)

2022 – 2024

PhD student

University of Southern California (usc.edu)

2017 – 2022

Advisors, Relations & Conflicts

Coauthor

Kevin Hsieh

2021 – Present

Coauthor

Ramy E. Ali

2020 – Present

Coauthor

Basak Guler

2019 – Present

PhD Advisor

Salman Avestimehr

2017 – Present

Expertise

Privacy-preserving machine learning

Present

Federated Learning

2017 – Present

Information Theory

2017 – Present

Publications

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
Jinhyun So, Ramy E. Ali, Basak Güler, Jiantao Jiao, Amir Salman Avestimehr
- Published: 01 Jan 2023, Last Modified: 29 Sept 2023
- AAAI 2023
- Readers: Everyone
LightVeriFL: Lightweight and Verifiable Secure Federated Learning
Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Oral
- Readers: Everyone
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr
- 16 May 2022 (modified: 05 May 2023)
- NeurIPS 2022 Submitted
- Readers: Everyone
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So, Chien-Sheng Yang, Chaoyang He, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr
- 09 Apr 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
- 2022 (modified: 30 Mar 2022)
- CoRR 2022
- Readers: Everyone
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr
- 2022 (modified: 16 Apr 2023)
- MLSys 2022
- Readers: Everyone
LightSecAgg: Rethinking Secure Aggregation in Federated Learning
Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr
- 2021 (modified: 16 Jan 2022)
- CoRR 2021
- Readers: Everyone
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
Jinhyun So, Basak Güler, Amir Salman Avestimehr
- Published: 01 Jan 2021, Last Modified: 29 Sept 2023
- IEEE J. Sel. Areas Inf. Theory 2021
- Readers: Everyone
Byzantine-Resilient Secure Federated Learning
Jinhyun So, Basak Güler, Amir Salman Avestimehr
- Published: 01 Jan 2021, Last Modified: 29 Sept 2023
- IEEE J. Sel. Areas Commun. 2021
- Readers: Everyone
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
Jinhyun So, Basak Güler, Amir Salman Avestimehr
- Published: 01 Jan 2021, Last Modified: 29 Sept 2023
- IEEE J. Sel. Areas Inf. Theory 2021
- Readers: Everyone

View all 24 publications

Co-Authors

View all 32 co-authors