4 papers
Real, Fake, or Manipulated? Detecting Machine-Influenced Text
Yitong Wang, Zhongping Zhang, Margherita Piana +3
Large Language Model (LLMs) can be used to write or modify documents, presenting a challenge for understanding the intent behind their use. For example, benign uses may involve usi…
Scaling Continuous Kernels with Sparse Fourier Domain Learning
Clayton Harper, Luke Wood, Peter Gerstoft +1
We address three key challenges in learning continuous kernel representations: computational efficiency, parameter efficiency, and spectral bias. Continuous kernels have shown sign…
Deep Learning based Spatially Dependent Acoustical Properties Recovery
Ruixian Liu, Peter Gerstoft
The physics-informed neural network (PINN) is capable of recovering partial differential equation (PDE) coefficients that remain constant throughout the spatial domain directly fro…
Spoofing Attack Detection in the Physical Layer with Robustness to User Movement
Daniel Romero, Tien Ngoc Ha, Peter Gerstoft
In a spoofing attack, an attacker impersonates a legitimate user to access or modify data belonging to the latter. Typical approaches for spoofing detection in the physical layer d…