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For simplicity, we only consider secure inner product between two binary vectors (vec {A}, vec {B}) of length n.
In the case of n=2048 and m=10,000, we need ⌈m/n⌉=5 packed ciphertexts and it also takes about 5×5.31=26.55 ms for a secure inner product between two binary vectors of length m=10,000.
According to our implementation, our method enables to compute a secure inner product between two binary vectors of length n=2048 (resp. 4096, 8192, and 16384) in 5.31 ms (resp. 34.34, 71.25, and 159.45 ms).
We also set t=n as the modulus parameter of the plaintext space, which is sufficient for computing the inner product between two binary vectors (vec {A}) and (vec {B}) of length n.
As described in Section 3.1, our packing method can pack a binary vector of length less than n in a single ciphertext, and the computation (6) enables to compute the inner product between two binary vectors of length n over packed ciphertexts.
The MCC represents a Pearson correlation between two binary vectors.
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Similarly, N. benthamiana leaves were coinfiltrated with two binary vectors, one encoding the two antibody chains and the other carrying the p19 silencing suppressor gene [ 78].
Five binary vectors were used for switchgrass transformation and co-transformation.
(Cf. blue stragglers) A likely scenario is a collision with a binary star system, or between two binary systems containing white dwarfs.
Correlations between two binary variables were examined using a Pearson χ test.
For two binary activation vectors define a matrix.
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