1 citations · 4 across the 8 of their papers we have counts for
9 papers
SVIA: A Street View Image Anonymization Framework for Self-Driving Applications
Dongyu Liu, Xuhong Wang, Cen Chen +3
In recent years, there has been an increasing interest in image anonymization, particularly focusing on the de-identification of faces and individuals. However, for self-driving ap…
CredID: Credible Multi-Bit Watermark for Large Language Models Identification
Haoyu Jiang, Xuhong Wang, Ping Yi +2
Large Language Models (LLMs) are widely used in complex natural language processing tasks but raise privacy and security concerns due to the lack of identity recognition. This pape…
Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond
Xuhong Wang, Haoyu Jiang, Yi Yu +7
Large Language Models (LLMs) are increasingly integrated into diverse industries, posing substantial security risks due to unauthorized replication and misuse. To mitigate these co…
The Shadow of Fraud: The Emerging Danger of AI-powered Social Engineering and its Possible Cure
Jingru Yu, Yi Yu, Xuhong Wang +4
Social engineering (SE) attacks remain a significant threat to both individuals and organizations. The advancement of Artificial Intelligence (AI), including diffusion models and l…
Navigating the Data Trading Crossroads: An Interdisciplinary Survey
Yi Yu, Jingru Yu, Xuhong Wang +7
Data has been increasingly recognized as a critical factor in the future economy. However, constructing an efficient data trading market faces challenges such as privacy breaches,…
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense
Yi Yu, Shengyue Yao, Tianchen Zhou +6
In the digital era, data has become a pivotal asset, advancing technologies such as autonomous driving. Despite this, data trading faces challenges like the absence of robust prici…
IR Design for Application-Specific Natural Language: A Case Study on Traffic Data
Wei Hu, Xuhong Wang, Ding Wang +5
In the realm of software applications in the transportation industry, Domain-Specific Languages (DSLs) have enjoyed widespread adoption due to their ease of use and various other b…
TransWorldNG: Traffic Simulation via Foundation Model
Ding Wang, Xuhong Wang, Liang Chen +7
Traffic simulation is a crucial tool for transportation decision-making and policy development. However, achieving realistic simulations in the face of the high dimensionality and…
Building Transportation Foundation Model via Generative Graph Transformer
Xuhong Wang, Ding Wang, Liang Chen +1
Efficient traffic management is crucial for maintaining urban mobility, especially in densely populated areas where congestion, accidents, and delays can lead to frustrating and ex…