6 citations · 10 across the 6 of their papers we have counts for
6 papers
Beyond Deepfake Images: Detecting AI-Generated Videos
Danial Samadi Vahdati, Tai D. Nguyen, Aref Azizpour +1
Recent advances in generative AI have led to the development of techniques to generate visually realistic synthetic video. While a number of techniques have been developed to detec…
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
Aref Azizpour, Tai D. Nguyen, Manil Shrestha +3
As generative AI progresses rapidly, new synthetic image generators continue to emerge at a swift pace. Traditional detection methods face two main challenges in adapting to these…
Open Set Synthetic Image Source Attribution
Shengbang Fang, Tai D. Nguyen, Matthew C. Stamm
AI-generated images have become increasingly realistic and have garnered significant public attention. While synthetic images are intriguing due to their realism, they also pose an…
Software Entity Recognition with Noise-Robust Learning
Tai Nguyen, Yifeng Di, Joohan Lee +2
Recognizing software entities such as library names from free-form text is essential to enable many software engineering (SE) technologies, such as traceability link recovery, auto…
Explanation-based Finetuning Makes Models More Robust to Spurious Cues
Josh Magnus Ludan, Yixuan Meng, Tai Nguyen +4
Large Language Models (LLMs) are so powerful that they sometimes learn correlations between labels and features that are irrelevant to the task, leading to poor generalization on o…
In-context Example Selection with Influences
Tai Nguyen, Eric Wong
In-context learning (ICL) is a powerful paradigm emerged from large language models (LLMs). Despite its promises, ICL performance is known to be highly sensitive to input examples.…