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…
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…
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…