Benefits of coding in a noncoherent massive SIMO system. - Brian Knott; Mainak Chowdhury; Alexandros Manolakos; Andrea J. Goldsmith (ICC, 2015)

Resolution-defined projections for virtual reality video compression. - Charles Dunn; Brian Knott (VR, 2017)

Efficient Evaluation of Coding Strategies for Transcutaneous Language Communication. - Robert Turcott; Jennifer Chen; Pablo Castillo; Brian Knott; Wahyudinata Setiawan; Forrest Briggs; Keith Klumb; Freddy Abnousi; Prasad Chakka; Frances Lau; Ali Israr (EuroHaptics (2), 2018)

Conveying language through haptics: a multi-sensory approach. - Nathan Dunkelberger; Jennifer L. Sullivan; Joshua Bradley; Nickolas P. Walling; Indu Manickam; Gautam Dasarathy; Ali Israr; Frances W. Y. Lau; Keith Klumb; Brian Knott; Freddy Abnousi; Richard G. Baraniuk; et al. (UbiComp, 2018)

Privacy-Preserving Contextual Bandits. - Awni Y. Hannun; Brian Knott; Shubho Sengupta; Laurens van der Maaten (CoRR, 2019)

Secure multiparty computations in floating-point arithmetic. - Chuan Guo 001; Awni Y. Hannun; Brian Knott; Laurens van der Maaten; Mark Tygert; Ruiyu Zhu (CoRR, 2020)

CrypTen: Secure Multi-Party Computation Meets Machine Learning. - Brian Knott; Shobha Venkataraman; Awni Y. Hannun; Shubho Sengupta; Mark Ibrahim; Laurens van der Maaten (NeurIPS, 2021)

CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU. - Sijun Tan; Brian Knott; Yuan Tian 001; David J. Wu 001 (IACR Cryptol. ePrint Arch., 2021)

Characterization of MPC-based Private Inference for Transformer-based Models. - Yongqin Wang; G. Edward Suh; Wenjie Xiong 001; Benjamin Lefaudeux; Brian Knott; Murali Annavaram; Hsien-Hsin S. Lee (ISPASS, 2022)

Identifying Controversial Pairs in Item-to-Item Recommendations. - Junyi Shen; Dayvid V. R. Oliveira; Jin Cao; Brian Knott; Goodman Gu; Sindhu Vijaya Raghavan; Yunye Jin; Nikita Sudan; Rob Monarch (RecSys, 2023)