Lingchen Zhao

FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency

2024 · IEEE Transactions on Information Forensics and Security

Recently, achieving query-efficient adversarial example attacks targeting black-box natural language models has attracted widespread attention from researchers. This task is considered difficult due to the discrete nature of texts, limited knowledge of the target model, …

Hijacking Attacks against Neural Networks by Analyzing Training Data

2024 · arXiv (Cornell University)

Backdoors and adversarial examples are the two primary threats currently faced by deep neural networks (DNNs). Both attacks attempt to hijack the model behaviors with unintended outputs by introducing (small) perturbations to the inputs. Backdoor …