"Accurate, Explainable, and Private Models: Providing Recourse While ..."

Catherine Huang et al. (2023)

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DOI: 10.48550/ARXIV.2308.04341

access: open

type: Informal or Other Publication

metadata version: 2024-10-08

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  - journals/corr/abs-2308-04341
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  - https://dblp.org/rec/journals/corr/abs-2308-04341
Catherine Huang, Chelse Swoopes, Christina Xiao, Jiaqi Ma, Himabindu Lakkaraju:
Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage. CoRR abs/2308.04341 (2023)

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