Zero Knowledge Proofs for Decision Tree Predictions and Accuracy
Author:
Affiliation:
1. University of California, Berkeley, Berkeley, CA, USA
2. Texas A&M University, College Station, TX, USA
Funder
Defense Advanced Research Projects Agency
DARPA
National Science Foundation(NSF)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3372297.3417278
Reference43 articles.
1. Generating hard instances of lattice problems (extended abstract)
2. Efficient Zero-Knowledge Argument for Correctness of a Shuffle
3. Scalable Zero Knowledge with No Trusted Setup
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