activity
20212024
most citedWatermarking Diffusion Model

9 citations · 25 across the 9 of their papers we have counts for

collaborators

9 papers

physics.optics2024

Rotating-modulated Higher-Order Topological States in a Split-ring Photonic Insulator

Hui Chang Li, Xiang Zhou, Hai Lin Chi +3

The emerging field of topology has brought device effects to a new level. Higher-order topological insulators (HOTIs) go beyond traditional descriptions of bulk-edge correspondence…

cs.CY20235 cited

Comprehensive Assessment of Toxicity in ChatGPT

Boyang Zhang, Xinyue Shen, Wai Man Si +6

Moderating offensive, hateful, and toxic language has always been an important but challenging topic in the domain of safe use in NLP. The emerging large language models (LLMs), su…

cs.CR2023

Prompt Backdoors in Visual Prompt Learning

Hai Huang, Zhengyu Zhao, Michael Backes +2

Fine-tuning large pre-trained computer vision models is infeasible for resource-limited users. Visual prompt learning (VPL) has thus emerged to provide an efficient and flexible al…

cs.CR20231 cited

Test-Time Poisoning Attacks Against Test-Time Adaptation Models

Tianshuo Cong, Xinlei He, Yun Shen +1

Deploying machine learning (ML) models in the wild is challenging as it suffers from distribution shifts, where the model trained on an original domain cannot generalize well to un…

cs.CL20238 cited

You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content

Xinlei He, Savvas Zannettou, Yun Shen +1

The spread of toxic content online is an important problem that has adverse effects on user experience online and in our society at large. Motivated by the importance and impact of…

cs.CR20239 cited

Watermarking Diffusion Model

Yugeng Liu, Zheng Li, Michael Backes +2

The availability and accessibility of diffusion models (DMs) have significantly increased in recent years, making them a popular tool for analyzing and predicting the spread of inf…