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AITIA: Efficient Secure Computation of Bivariate Causal Discovery
Truong Son Nguyen, Lun Wang, Evgenios M. Kornaropoulos, Ni Trieu
Cryptographic protocols
Researchers across various fields seek to understand causal relationships but often find controlled experiments impractical. To address this, statistical tools for causal discovery from naturally observed data have become crucial. Non-linear regression models, such as Gaussian process regression, are commonly used in causal inference but have limitations due to high costs when adapted for secure computation. Support vector regression (SVR) offers an alternative but remains costly in an...
AITIA: Efficient Secure Computation of Bivariate Causal Discovery
Truong Son Nguyen, Lun Wang, Evgenios M. Kornaropoulos, Ni Trieu
Cryptographic protocols
Researchers across various fields seek to understand causal relationships but often find controlled experiments impractical. To address this, statistical tools for causal discovery from naturally observed data have become crucial. Non-linear regression models, such as Gaussian process regression, are commonly used in causal inference but have limitations due to high costs when adapted for secure computation. Support vector regression (SVR) offers an alternative but remains costly in an...
