Recent natural language processing (NLP) techniques have accomplished high
performance on benchmark data sets, primarily due to the significant improvement in the …

The explosive growth of software vulnerabilities poses a serious threat to the system security
and has become one of the urgent problems of the day. However, existing vulnerability …

The popularization of social media generates a large amount of user-oriented data, where
text data especially attracts researchers and speculators to infer user attributes (eg, age …

The rapid development of large language models (LLMs) has yielded impressive success in
various downstream tasks. However, the vast potential and remarkable capabilities of LLMs …

As social networks become indispensable for people's daily lives, inference attacks pose
significant threat to users' privacy where attackers can infiltrate users' information and infer …

Medical images on the Internet of Medical Things (IoMT) can be easily collected, recognized
and analyzed by unauthorized individuals and companies using deep neural networks …

Social media has drastically reshaped the world that allows billions of people to engage in
such interactive environments to conveniently create and share content with the public …

Social media generates a rich source of text data with intrinsic user attributes (eg, age,
gender), where different parties benefit from disclosing them. Attribute inference can be cast …