A Fully Private Pipeline for Deep Learning on Electronic Health Records. - Edward Chou; Thao Nguyen; Josh Beal; Albert Haque; Li Fei-Fei 001 (CoRR, 2018)

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference. - Edward Chou; Josh Beal; Daniel Levy; Serena Yeung; Albert Haque; Li Fei-Fei 001 (CoRR, 2018)

Bootstrapping Complete The Look at Pinterest. - Eileen Li; Eric Kim; Andrew Zhai; Josh Beal; Kunlong Gu (KDD, 2020)

Toward Transformer-Based Object Detection. - Josh Beal; Eric Kim; Eric Tzeng; Dong Huk Park; Andrew Zhai; Dmitry Kislyuk (CoRR, 2020)

Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations. - Josh Beal; Hao-Yu Wu; Dong Huk Park; Andrew Zhai; Dmitry Kislyuk (WACV, 2022)

Derecho: Privacy Pools with Proof-Carrying Disclosures. - Josh Beal; Ben Fisch (IACR Cryptol. ePrint Arch., 2023)

Mira: Efficient Folding for Pairing-based Arguments. - Josh Beal; Ben Fisch (IACR Cryptol. ePrint Arch., 2024)