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Brian Knott
Brian Knott
Facebook AI Research
Adresă de e-mail confirmată pe fb.com
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Crypten: Secure multi-party computation meets machine learning
B Knott, S Venkataraman, A Hannun, S Sengupta, M Ibrahim, ...
Advances in Neural Information Processing Systems 34, 4961-4973, 2021
2892021
CryptGPU: Fast privacy-preserving machine learning on the GPU
S Tan, B Knott, Y Tian, DJ Wu
2021 IEEE Symposium on Security and Privacy (SP), 1021-1038, 2021
1472021
Conveying language through haptics: A multi-sensory approach
N Dunkelberger, J Sullivan, J Bradley, NP Walling, I Manickam, ...
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 25-32, 2018
432018
Secure multiparty computations in floating-point arithmetic
C Guo, A Hannun, B Knott, L van der Maaten, M Tygert, R Zhu
Information and Inference: A Journal of the IMA 11 (1), 103-135, 2022
252022
Efficient evaluation of coding strategies for transcutaneous language communication
R Turcott, J Chen, P Castillo, B Knott, W Setiawan, F Briggs, K Klumb, ...
Haptics: Science, Technology, and Applications: 11th International …, 2018
232018
Characterization of mpc-based private inference for transformer-based models
Y Wang, GE Suh, W Xiong, B Lefaudeux, B Knott, M Annavaram, ...
2022 IEEE International Symposium on Performance Analysis of Systems and …, 2022
182022
Benefits of coding in a noncoherent massive SIMO system
B Knott, M Chowdhury, A Manolakos, AJ Goldsmith
2015 IEEE International Conference on Communications (ICC), 2350-2355, 2015
162015
Privacy-preserving multi-party contextual bandits
A Hannun, B Knott, S Sengupta, L van der Maaten
arXiv preprint arXiv:1910.05299, 2019
152019
Haptic communication using interference of haptic outputs on skin
BA Knott, R Turcott, A Israr
US Patent 10,748,448, 2020
102020
CrypTen: a new research tool for secure machine learning with PyTorch
D Gunning, A Hannun, M Ibrahim, B Knott, L van der Maaten, V Reis, ...
Blog post available at https://ai. facebook. com/blog/crypten-a-new-research …, 2019
102019
Machine translation of consonant-vowel pairs and syllabic units to haptic sequences for transmission via haptic device
BA Knott, VP Chakkabala
US Patent 10,222,864, 2019
102019
Resolution-defined projections for virtual reality video compression
C Dunn, B Knott
2017 IEEE Virtual Reality (VR), 337-338, 2017
82017
Machine translation of consonant-vowel pairs and syllabic units to haptic sequences for transmission via haptic device
BA Knott, VP Chakkabala
US Patent 10,591,996, 2020
52020
Neural network model for generation of compressed haptic actuator signal from audio input
BA Knott, VP Chakkabala
US Patent 11,355,033, 2022
42022
Characterizing and Improving MPC-based Private Inference for Transformer-based Models
Y Wang, E Suh, W Xiong, B Knott, B Lefaudeux, M Annavaram, HH Lee
NeurIPS 2021 Workshop Privacy in Machine Learning, 2021
22021
Identifying Controversial Pairs in Item-to-Item Recommendations
J Shen, D VR Oliveira, J Cao, B Knott, G Gu, S Vijaya Raghavan, Y Jin, ...
Proceedings of the 17th ACM Conference on Recommender Systems, 671-674, 2023
2023
Neural network model for generation of compressed haptic actuator signal from audio input
BA Knott, R Turcott, A Israr
US Patent App. 17/734,813, 2022
2022
Envelope encoding of speech signals for transmission to cutaneous actuators
R Turcott, A Israr, BA Knott, F Abnousi
US Patent 10,943,503, 2021
2021
Supplemental Material for CRYPTEN: Secure Multi-Party Computation Meets Machine Learning
B Knott, S Venkataraman, A Hannun, S Sengupta, M Ibrahim, ...
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