4 papers
Vaporizer: Breaking Watermarking Schemes for Large Language Model Outputs
Jonathan Hong Jin Ng, Anh Tu Ngo, Anupam Chattopadhyay
In this paper, we investigate the recent state-of-the-art schemes for watermarking large language models (LLMs) outputs. These techniques are claimed to be robust, scalable and pro…
NutVLM: A Self-Adaptive Defense Framework against Full-Dimension Attacks for Vision Language Models in Autonomous Driving
Xiaoxu Peng, Dong Zhou, Jianwen Zhang +3
Vision Language Models (VLMs) have advanced perception in autonomous driving (AD), but they remain vulnerable to adversarial threats. These risks range from localized physical patc…
Realizing Quantum Adversarial Defense on a Trapped-ion Quantum Processor
Alex Jin, Tarun Dutta, Anh Tu Ngo +2
Classification is a fundamental task in machine learning, typically performed using classical models. Quantum machine learning (QML), however, offers distinct advantages, such as e…
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation
Anh Tu Ngo, Chuan Song Heng, Nandish Chattopadhyay +1
Deep Neural Networks (DNNs) have gained considerable traction in recent years due to the unparalleled results they gathered. However, the cost behind training such sophisticated mo…