| 2026 | SP | Decor: Delegated Computation on Randomness for Secure Evaluation of Nonlinear Functions. | Haris Smajlovic, Kyle Sheng, Timos Antonopoulos, Ruzica Piskac, Hyunghoon Cho |
| 2025 | RECOMB | TX-Phase: Secure Phasing of Private Genomes in a Trusted Execution Environment. | Natnatee Dokmai, Kaiyuan Zhu, S. Cenk Sahinalp, Hyunghoon Cho |
| 2024 | RECOMB | Secure Discovery of Genetic Relatives Across Large-Scale and Distributed Genomic Datasets. | Matthew M. Hong, David Froelicher, Ricky Magner, Victoria Popic, Bonnie Berger, Hyunghoon Cho |
| 2023 | SP | Scalable and Privacy-Preserving Federated Principal Component Analysis. | David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramn Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux |
| 2022 | ECCV | k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment. | Minkyu Jeon, Hyeon-Jin Park, Hyunwoo J. Kim, Michael G. Morley, Hyunghoon Cho |
| 2020 | ISIT | Mechanisms for Hiding Sensitive Genotypes with Information-Theoretic Privacy. | Fangwei Ye, Hyunghoon Cho, Salim El Rouayheb |
| 2020 | RECOMB | Privacy-Preserving Biomedical Database Queries with Optimal Privacy-Utility Trade-Offs. | Hyunghoon Cho, Sean Simmons, Ryan Kim, Bonnie Berger |
| 2019 | AISTATS | Large-Margin Classification in Hyperbolic Space. | Hyunghoon Cho, Benjamin Demeo, Jian Peng, Bonnie Berger |
| 2019 | RECOMB | Geometric Sketching of Single-Cell Data Preserves Transcriptional Structure. | Brian Hie, Hyunghoon Cho, Benjamin Demeo, Bryan Bryson, Bonnie Berger |
| 2018 | RECOMB | Generalizable Visualization of Mega-Scale Single-Cell Data. | Hyunghoon Cho, Bonnie Berger, Jian Peng |
| 2015 | RECOMB | Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks. | Hyunghoon Cho, Bonnie Berger, Jian Peng |