Fairness Audit of Machine Learning Models with Confidential Computing

Author:

Park Saerom1,Kim Seongmin1,Lim Yeon-sup1

Affiliation:

1. Sungshin Women's University, Republic of Korea

Funder

National Research Foundation of Korea(NRF)

Publisher

ACM

Reference67 articles.

1. [n. d.]. Confidential Computing Consortium. Available at https://confidentialcomputing.io/ (2022/02/23). [n. d.]. Confidential Computing Consortium. Available at https://confidentialcomputing.io/ (2022/02/23).

2. Deep learning for biological image classification

3. Alekh Agarwal , Miroslav Dudík , and Zhiwei Steven Wu . 2019 . Fair regression: Quantitative definitions and reduction-based algorithms . In International Conference on Machine Learning. PMLR, 120–129 . Alekh Agarwal, Miroslav Dudík, and Zhiwei Steven Wu. 2019. Fair regression: Quantitative definitions and reduction-based algorithms. In International Conference on Machine Learning. PMLR, 120–129.

4. 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 . Citeseer, 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. Citeseer, 7.

5. McKane Andrus Elena Spitzer Jeffrey Brown and Alice Xiang. 2020. “What We Can’t Measure We Can’t Understand”: Challenges to Demographic Data Procurement in the Pursuit of Fairness. arXiv preprint arXiv:2011.02282(2020). McKane Andrus Elena Spitzer Jeffrey Brown and Alice Xiang. 2020. “What We Can’t Measure We Can’t Understand”: Challenges to Demographic Data Procurement in the Pursuit of Fairness. arXiv preprint arXiv:2011.02282(2020).

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