id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-30943	Dong, Fanjing	A Review of Business Data Security Based on Differential Privacy Protection	2025	5	.pdf	application/pdf	3981	219	42	Machine Learning and Model Training Differential privacy techniques in the field of machine learning, on the other hand, protect data privacy by adding noise to the training process, such as the differential privacy optimized gradient descent algorithm (DP-SGD), which adds noise to the gradient update to protect the privacy of the training data while maintaining the performance and utility of the model. Introduction With the rapid development of artificial intelligence, a large amount of commercial information is becoming increasingly transparent in the data network, especially in the booming e-commerce, it is particularly urgent and crucial to protect commercial privacy data and prevent privacy invasion, which is largely related to the survival and development of related enterprises.	cache/fcis-30943.pdf	txt/fcis-30943.txt