#' Get ACRA Probabilities
#'
#' For a given possibly attacked email, and given
#' parameters of NB classifier, this functions returns the ACRA probabilities,
#' @param x the email.
#' @param fit object of class naive-Bayes including the results from
#' training.
#' @param var Variance. Measure of certainty about attacker.
#' @return This function returns the ACRA probabilities.
#' @keywords attacks, adversarial learning.
#' @export
#' @examples
#' getACRAprobabilities(x,fit,var)
getACRAprobabilities <- function(x,fit,var = 0.99){
print(paste("Studying possible original message x", "0"))
aux = getAttackProbDistribution(x, 1, fit, var)
aux = aux[1]
aux = aux * getNBProbabilities(fit, x)[,"1"]
for(i in 1:length(x)){
xtmp = x
if(xtmp[i] == 1){
print(paste("Studying possible original message x", as.character(i)))
xtmp[i] = factor(0, levels = c(0,1))
tmp = getAttackProbDistribution(xtmp, 1, fit, var)[i+1]
tmp = tmp * getNBProbabilities(fit, xtmp)[,"1"]
aux = aux + tmp
}
}
return(c( getNBProbabilities(fit, x)[,"0"], aux) )
}
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