Dongxia Wang

Enhancing Randomization Entropy of x86-64 Code while Preserving Semantic Consistency

2020

Code randomization is considered as the basis of mitigation against code reuse attacks, fundamentally supporting some recent proposals such as execute-only memory (XOM) that aims at dynamic return-oriented programming (ROP) attacks. However, existing code randomization …

AAT: An Efficient Adaptive Adversarial Training Algorithm

2022

Adversarial training is one of the most promising methods to improve the model's robustness, while the expensive training cost keeps a huge problem for this method. Recent researchers have made great effort to improve its …

Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models

2025 · arXiv (Cornell University)

Despite the widespread use of Transformer-based text embedding models in NLP tasks, surprising 'sticky tokens' can undermine the reliability of embeddings. These tokens, when repeatedly inserted into sentences, pull sentence similarity toward a certain value, …