PPMLAC

Author:

Zhou Xing1,Xu Zhilei2,Wang Cong1,Gao Mingyu3

Affiliation:

1. Shanghai ZiXian Technology, Shanghai, China

2. Shanghai Jiao Tong University, Shanghai, China

3. Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference89 articles.

1. ACM CCS. 2021. PRIVACY PRESERVING MACHINE LEARNING an ACM CCS 2021 Workshop. https://ppml-workshop.github.io/ ACM CCS. 2021. PRIVACY PRESERVING MACHINE LEARNING an ACM CCS 2021 Workshop. https://ppml-workshop.github.io/

2. Privacy-Preserving Machine Learning: Threats and Solutions

3. Ittai Anati , Shay Gueron , Simon Johnson , and Vincent Scarlata . 2013 . Innovative technology for CPU based attestation and sealing . In Proceedings of the 2nd international workshop on hardware and architectural support for security and privacy , Vol. 13 . ACM New York, NY, USA, 7. Ittai Anati, Shay Gueron, Simon Johnson, and Vincent Scarlata. 2013. Innovative technology for CPU based attestation and sealing. In Proceedings of the 2nd international workshop on hardware and architectural support for security and privacy, Vol. 13. ACM New York, NY, USA, 7.

4. ARM. 2022. TrustZone. https://www.arm.com/technologies/trustzone-for-cortex-a. Accessed: 2022-04-10. ARM. 2022. TrustZone. https://www.arm.com/technologies/trustzone-for-cortex-a. Accessed: 2022-04-10.

5. Yuyan Bao , Kirshanthan Sundararajah , Raghav Malik , Qianchuan Ye , Christopher Wagner , Fei Wang , Mohammad Hassan Ameri , Donghang Lu, Alexander Seto, Benjamin Delaware, Roopsha Samanta, Aniket Kate, Christina Garman, Jeremiah Blocki, Pierre-David Letourneau, Benoit Meister , Jonathan Springer , Tiark Rompf , and Milind Kulkarni. 2020 . HACCLE : An Ecosystem for Building Secure Multi-Party Computations . CoRR abs/2009.01489 (2020). arXiv:2009.01489 https://arxiv.org/abs/2009.01489 Yuyan Bao, Kirshanthan Sundararajah, Raghav Malik, Qianchuan Ye, Christopher Wagner, Fei Wang, Mohammad Hassan Ameri, Donghang Lu, Alexander Seto, Benjamin Delaware, Roopsha Samanta, Aniket Kate, Christina Garman, Jeremiah Blocki, Pierre-David Letourneau, Benoit Meister, Jonathan Springer, Tiark Rompf, and Milind Kulkarni. 2020. HACCLE: An Ecosystem for Building Secure Multi-Party Computations. CoRR abs/2009.01489 (2020). arXiv:2009.01489 https://arxiv.org/abs/2009.01489

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1. Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey;Journal of Network and Computer Applications;2024-11

2. MPC-PAT: A Pipeline Architecture for Beaver Triple Generation in Secure Multi-party Computation;2024 IEEE International Test Conference in Asia (ITC-Asia);2024-08-18

3. Secure computation protocol of Chebyshev distance under the malicious model;Scientific Reports;2024-07-24

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

5. Trustworthiness, Privacy, and Security in Federated Learning;Springer Optimization and Its Applications;2024-05-10

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