Noninteractive Lightweight Privacy-Preserving Auditing on Images in Mobile Crowdsourcing Networks

Table 2

Notations in this paper.

Notation	Description
	Binary convolutional neural network model trained by the MU
	Private parameters of the MU
	Public parameters of NLPAS
	Feature vector of the MU
	Feature vector of the CS
	Length of the two binary vectors and
	Security strength of NLPAS
	Ciphertexts generated by the MU
	The first set of random numbers that is hidden in
	The second set of random numbers that is hidden in
	Ciphertexts generated by the CS
	Hamming distance of and
	The first set of random numbers that is hidden in
	The second set of random numbers that is hidden in
	Threshold for determining whether the image on the CS meets the MU’s requirement
	Prime number for counting different bits in and
	Prime number used as a carrier
	The first set of random numbers for hiding
	The second set of random numbers for hiding
	The third set of random numbers for hiding
	The fourth set of random numbers for hiding
	The first set of bases for hiding vectors
	The second set of bases for hiding vectors
	Transitional values for extracting the hamming distance
	Values that contain the hamming distance