In the past few years, it has become increasingly evident that deep neural networks are not
resilient enough to withstand adversarial perturbations in input data, leaving them …

The growing use of media has led to the development of several machine learning (ML) and
natural language processing (NLP) tools to process the unprecedented amount of social …

The exponential growth of social media platforms such as Twitter and Facebook has
revolutionized textual communication and textual content publication in human society …

摘要近年来, 基于深度神经网络的模型在几乎所有自然语言处理任务上都取得了非常好的效果,
在很多任务上甚至超越了人类. 展现了极强能力的大规模语言模型也为自然语言处理模型的发展 …

Despite their tremendous success in various machine learning tasks, deep neural networks
(DNNs) are inherently vulnerable to adversarial examples, which are maliciously crafted …