Characterizing and Optimizing End-to-End Systems for Private Inference-Reference-Cited by-同舟云学术

Characterizing and Optimizing End-to-End Systems for Private Inference

Published:2023-03-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3
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Author:

Garimella Karthik¹,Ghodsi Zahra²,Jha Nandan Kumar¹,Garg Siddharth¹,Reagen Brandon¹

Affiliation:

1. New York University, USA

2. Purdue University, USA

Publisher

ACM

Reference90 articles.

1. 2015. 3GPP TR 22.885 v14.0.0 Study on LTE Support for Vehicle to Everything (V2X) Services. 2015. 3GPP TR 22.885 v14.0.0 Study on LTE Support for Vehicle to Everything (V2X) Services.

2. Deep Learning with Differential Privacy

3. Ittai Anati Shay Gueron Simon P Johnson and Vincent R Scarlata. 2013. Innovative Technology for CPU Based Attestation and Sealing. Ittai Anati Shay Gueron Simon P Johnson and Vincent R Scarlata. 2013. Innovative Technology for CPU Based Attestation and Sealing.

4. Evolution of Wireless Communication to 6G: Potential Applications and Research Directions

5. Marshall Ball Brent Carmer Tal Malkin Mike Rosulek and Nichole Schimanski. 2019. Garbled neural networks are practical. Cryptology ePrint Archive. Marshall Ball Brent Carmer Tal Malkin Mike Rosulek and Nichole Schimanski. 2019. Garbled neural networks are practical. Cryptology ePrint Archive.

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1. DReP: Deep ReLU pruning for fast private inference;Journal of Systems Architecture;2024-07

2. BOLT: Privacy-Preserving, Accurate and Efficient Inference for Transformers;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

3. zPROBE: Zero Peek Robustness Checks for Federated Learning;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. Towards Fast and Scalable Private Inference;Proceedings of the 20th ACM International Conference on Computing Frontiers;2023-05-09