Accelerator Design and Performance Modeling for Homomorphic Encrypted CNN Inference. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2020)

Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution. - Tian Ye 002; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (FPL, 2021)

FPGA Acceleration of Number Theoretic Transform. - Tian Ye 002; Yang Yang 111; Sanmukh R. Kuppannagari; Rajgopal Kannan; Viktor K. Prasanna (ISC, 2021)

End-to-End Acceleration of Homomorphic Encrypted CNN Inference on FPGAs. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2022)

FPGA Acceleration of Fully Homomorphic Encryption over the Torus. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (HPEC, 2022)

Estimating the Impact of Communication Schemes for Distributed Graph Processing. - Tian Ye 002; Sanmukh R. Kuppannagari; César A. F. De Rose; Sasindu Wijeratne; Rajgopal Kannan; Viktor K. Prasanna (ISPDC, 2022)

Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. - Jacob Fein-Ashley; Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (HPEC, 2023)

Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart; Lance M. Kaplan (CoRR, 2023)

Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (CoRR, 2024)

FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification. - Xu Wang; Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2024)

Adversarial Training in Low-Label Regimes with Margin-Based Interpolation. - Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2024)

FAST: FPGA Acceleration of Fully Homomorphic Encryption with Efficient Bootstrapping. - Zhihan Xu; Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2025)

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning. - Dhruv Parikh; Jacob Fein-Ashley; Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)