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  • In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance matrices.
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  • Lemma 6. Let UE = (KG, Enc, TokenGen, Update, Decrypt) be a c-d UE scheme with no-directional key updates, and xx ∈ {det, rand} and atk ∈ {CPA, CCA-1, CCA}.
  • Canonical Correlation Analysis or CCA is a dimensionality reduction technique like Principal Component Analysis (PCA) or SVD.
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