Non-Interactive MPC with Trusted Hardware Secure Against Residual Function Attacks. - Ryan Karl; Timothy Burchfield; Jonathan Takeshita; Taeho Jung (IACR Cryptol. ePrint Arch., 2019)

Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition Approach. - Jennifer J. Schnur; Ryan Karl; Angélica García-Martínez; Meng Jiang 001; Nitesh V. Chawla (BIBM, 2020)

Secure Single-Server Nearly-Identical Image Deduplication. - Jonathan Takeshita; Ryan Karl; Taeho Jung (ICCCN, 2020)

Federated Dynamic GNN with Secure Aggregation. - Meng Jiang 001; Taeho Jung; Ryan Karl; Tong Zhao 003 (CoRR, 2020)

Cryptonite: A Framework for Flexible Time-Series Secure Aggregation with Online Fault Tolerance. - Ryan Karl; Jonathan Takeshita; Taeho Jung (IACR Cryptol. ePrint Arch., 2020)

SLAP: Simple Lattice-Based Private Stream Aggregation Protocol. - Jonathan Takeshita; Ryan Karl; Ting Gong; Taeho Jung (IACR Cryptol. ePrint Arch., 2020)

Enabling Faster Operations for Deeper Circuits in Full RNS Variants of FV-like Somewhat Homomorphic Encryption. - Jonathan Takeshita; Matthew M. Schoenbauer; Ryan Karl; Taeho Jung (IACR Cryptol. ePrint Arch., 2020)

Quantitative and Qualitative Investigations into Trusted Execution Environments. - Ryan Karl (SecureComm (2), 2021)

Cryptonite: A Framework for Flexible Time-Series Secure Aggregation with Non-interactive Fault Recovery. - Ryan Karl; Jonathan Takeshita; Taeho Jung (SecureComm (1), 2021)

Provably Secure Contact Tracing with Conditional Private Set Intersection. - Jonathan Takeshita; Ryan Karl; Alamin Mohammed; Aaron Striegel; Taeho Jung (SecureComm (1), 2021)

Genomic Encryption of Biometric Information for Privacy-Preserving Forensics. - Taeho Jung; Ryan Karl; Geoffrey H. Siwo (CoRR, 2021)

CryptoGram: Fast Private Calculations of Histograms over Multiple Users' Inputs. - Ryan Karl; Jonathan Takeshita; Alamin Mohammed; Aaron Striegel; Taeho Jung (IACR Cryptol. ePrint Arch., 2021)

Cryptonomial: A Framework for Private Time-Series Polynomial Calculations. - Ryan Karl; Jonathan Takeshita; Alamin Mohammed; Aaron Striegel; Taeho Jung (IACR Cryptol. ePrint Arch., 2021)

GPS: Integration of Graphene, PALISADE, and SGX for Large-scale Aggregations of Distributed Data. - Jonathan Takeshita; Colin McKechney; Justin Pajak; Antonis Papadimitriou; Ryan Karl; Taeho Jung (IACR Cryptol. ePrint Arch., 2021)

TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation. - Jonathan Takeshita; Zachariah Carmichael; Ryan Karl; Taeho Jung (IACR Cryptol. ePrint Arch., 2022)

Developing non-interactive MPC with trusted hardware for enhanced security. - Ryan Karl; Hannah Burchfield; Jonathan Takeshita; Taeho Jung (Int. J. Inf. Sec., 2022)

Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance. - Meng Jiang 001; Taeho Jung; Ryan Karl; Tong Zhao 003 (ACM Trans. Intell. Syst. Technol., 2022)

HBRC-500: A Long Range Recognition Benchmark Dataset using Face and Whole-body Imagery. - Cedric Nimpa Fondje; Kshitij Nikhal; John Brennan Peace; Ryan Karl; Mun Wai Lee; Phillip Berkowitz; Katrina Gramzinski; Bridget Kennedy; Nkirukaegbunam Uzuegbunam; Victoria Ou; Tyler Barret; Oliver Arend; et al. (IJCB, 2023)

SLAP: Simpler, Improved Private Stream Aggregation from Ring Learning with Errors. - Jonathan Takeshita; Ryan Karl; Ting Gong; Taeho Jung (J. Cryptol., 2023)

Cryptonite: A Framework for Flexible Time-Series Secure Aggregation with Non-interactive Fault Recovery. - Ryan Karl; Nirajan Koirala; Tasha Januszewicz; Jonathan Takeshita; Taeho Jung (SN Comput. Sci., 2025)