5 papers
Ask ChatGPT: Caveats and Mitigations for Individual Users of AI Chatbots
Chengen Wang, Murat Kantarcioglu
As ChatGPT and other Large Language Model (LLM)-based AI chatbots become increasingly integrated into individuals' daily lives, important research questions arise. What concerns an…
Graph Generative Models Evaluation with Masked Autoencoder
Chengen Wang, Murat Kantarcioglu
In recent years, numerous graph generative models (GGMs) have been proposed. However, evaluating these models remains a considerable challenge, primarily due to the difficulty in e…
A Review of DeepSeek Models' Key Innovative Techniques
Chengen Wang, Murat Kantarcioglu
DeepSeek-V3 and DeepSeek-R1 are leading open-source Large Language Models (LLMs) for general-purpose tasks and reasoning, achieving performance comparable to state-of-the-art close…
How to Backdoor Consistency Models?
Chengen Wang, Murat Kantarcioglu
Consistency models are a new class of models that generate images by directly mapping noise to data, allowing for one-step generation and significantly accelerating the sampling pr…
A Systematic Evaluation of Generative Models on Tabular Transportation Data
Chengen Wang, Alvaro Cardenas, Gurcan Comert +1
The sharing of large-scale transportation data is beneficial for transportation planning and policymaking. However, it also raises significant security and privacy concerns, as the…