5results about How to "Increase time complexity" patented technology

The invention discloses a privacy protection method, device and system based on homomorphic rank transformation, and belongs to the technical field of privacy protection. The method comprises the following steps: a calculation executor negotiates homomorphic encryption parameters with a data holder; the calculation executor obtains a ciphertext ct, a rotation key and a rank descent key sent by the data holder; the calculation executor combines the rotation key and the rank descent key to sequentially execute rank lifting, rotation and rank reduction operations on the ciphertext ct to obtain a ciphertext ct '; and the calculation execution party transmits the reduced-rank ciphertext ct'to a data holding party, so that the data holding party obtains a homomorphic rotation result of the complex vector # imgabs0 #, which cannot be obtained by the calculation execution method, based on the reduced-rank ciphertext ct '. According to the method, a calculation execution party cannot obtain the rotation result of the complex vector, and the calculation efficiency is improved.

The invention discloses a sick cattle monitoring system and method based on voiceprint data. The method comprises a data acquisition module; the audio data preprocessing module is used for receiving the cattle call audio data received by the data acquisition module and preprocessing the cattle call audio data; a feature extraction module which is connected with the audio data preprocessing module and is used for processing the audio data preprocessed by the audio data preprocessing module and carrying out feature extraction to obtain an improved cepstrum diagram of the cattle calling audio data; according to the data classification model, an LSTM, a full connection layer and a sigmoid activation function are adopted, and improved cepstrum diagrams of sound audio data of sick cattle and non-sick cattle are used as positive sample data and negative sample data for training; and the early warning module is used for suppressing misinformation of the classification model and judging whether diseased cattle exist in the cattle calling audio data or not. By means of the method, real-time and non-contact diseased cattle screening is achieved, and meanwhile the labor intensity of breeders and the risk of epidemic disease infection are reduced.

The invention discloses an open vocabulary instance segmentation method based on image title alignment and generation. An open vocabulary instance segmentation model based on image title alignment and generation is established; a loss function of model training comprises image title alignment loss and image title generation loss; in the image title alignment loss, only using a noun representing an object as an alignment object; according to the image title generation loss, a training mode based on an image title generation task is adopted, an image title predicted by a model is compared with a real image title, and then the loss is calculated; generating a mask of the object according to the potential features of the object; predicting the object category according to the potential features of the object and the similarity of the category vocabularies; and the mask and the prediction category are combined to form an instance segmentation result, namely, open vocabulary instance segmentation based on image title alignment and generation is realized. The method can improve the segmentation accuracy, is simple and efficient, and is convenient to reproduce.

The application discloses a modulus decomposition method of an RSA variant cryptosystem, and classifies and discusses a public-private key pair of the RSA variant cryptosystem. 2 <ed<N 3 When the public-private key pair satisfies N 3 <ed<N 4 , the modulus N of the RSA is decomposed by using an enumeration method to continuously test a candidate value, finding a suitable k value to calculate a key equation, and by using a lattice theory analysis skill, an LLL algorithm to find a short vector in a lattice, a variant of a Coppersmith method and a direct application of an approximate integer common factor of a Howgrave-Graham algorithm to transform a modulus equation solving problem into a short vector solving problem in a lattice, and the modulus N of the RSA is decomposed. 12 The time complexity of the method for decomposing a polynomial is O(2log N). The application enriches the application of lattice cryptography on the RSA algorithm and improves the security of the variant RSA algorithm.

The invention belongs to the technical field of black-box confrontation attacks, discloses a black-box confrontation attack method based on proxy function optimization and feature probability diffusion, and aims to solve the problems that traditional evading attacks cannot disturb a network intrusion detection system based on machine learning and the number of black-box confrontation sample attack query times is large. In order to solve the problems of large calculation overhead, universality of adversarial samples and the like, a method for generating the adversarial samples by combining the adversarial samples, reinforcement learning and a diffusion model is designed, an indirect optimization framework is realized, and a trainable neural network is introduced for generating adversarial disturbance. Through back propagation of the proxy loss function J, parameters of the neural network can be indirectly updated. According to the mechanism, an unguidable black box optimization problem is ingeniously converted into a trainable and end-to-end neural network optimization problem, so that indirect optimization against disturbance is realized.