BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements

Understand

Deep neural networks (DNNs) have progressed rapidly during the past decade and have been deployed in various real-world applications.

• Meanwhile, DNN models have been shown to be vulnerable to security and privacy attacks.
• One such attack that has attracted a great deal of attention recently is the backdoor attack.
• Specifically, the adversary poisons the target model's training set to mislead any input with an added secret trigger to a target class.