TEA-RNN: Topic-Enhanced Attentive RNN for Attribute Inference Attacks via User Behaviors

Obtaining demographic attributes of online users is of great significance for retail marketing, targeted advertisement and many other scenarios. Users' wanderings on various websites and applications contains user preference on different items, and can be leveraged to infer one's private attributes. Existing studies usually focus on manually defined features, relationships in online social network...