Zobrazeno 1 - 3
of 3
pro vyhledávání: '"ZHAO LI"'
Autor:
Jiajun Bu, Xuming Pan, Zhao Li, Chengwei Yao, Yuhang Jiao, Xin Shen, Pengcheng Zou, Xianling Meng
Publikováno v:
ICDE
The e-commerce appeals to a multitude of online shoppers by providing personalized experiences and becomes indispensable in our daily life. Accurately predicting user preference and making a recommendation of favorable items plays a crucial role in i
Autor:
Ting Wang, Raheem Beyah, Qianjun Liu, Jing Chen, Pan Zhou, Haiqin Weng, Shouling Ji, Qinchen Gu, Zhao Li
Publikováno v:
ICDE
In this paper, we study the privacy of online health data. We present a novel online health data De-Anonymization (DA) framework, named De-Health. Leveraging two real world online health datasets WebMD and HealthBoards, we validate the DA efficacy of
Publikováno v:
ICDE
Data-driven recommender systems that can help to predict users’ preferences are deployed in many real online service platforms. Several studies show that they are vulnerable to data poisoning attacks, and attackers have the ability to mislead the s