Model-based steganalysis using invariant features. - Tu-Thach Quach; Fernando Pérez-González; Gregory L. Heileman (Media Forensics and Security, 2009)

On locating steganographic payload using residuals. - Tu-Thach Quach (Media Forensics and Security, 2011)

Optimal Cover Estimation Methods and Steganographic Payload Location. - Tu-Thach Quach (IEEE Trans. Inf. Forensics Secur., 2011)

Locatability of modified pixels in steganographic images. - Tu-Thach Quach (Media Watermarking, Security, and Forensics, 2012)

Locating payload embedded by group-parity steganography. - Tu-Thach Quach (Digit. Investig., 2012)

Cover estimation and payload location using Markov random fields. - Tu-Thach Quach (Media Watermarking, Security, and Forensics, 2014)

Extracting hidden messages in steganographic images. - Tu-Thach Quach (Digit. Investig., 2014)

Vehicle track detection in CCD imagery via conditional random field. - Rebecca Malinas; Tu-Thach Quach; Mark W. Koch (ACSSC, 2015)

A model-based approach to finding tracks in SAR CCD images. - Tu-Thach Quach; Rebecca Malinas; Mark W. Koch (CVPR Workshops, 2015)

Low-Level Track Finding and Completion using Random Fields. - Tu-Thach Quach; Rebecca Malinas; Mark W. Koch (Image Processing: Machine Vision Applications, 2016)

Separating Steganographic Images by Embedding Key. - Tu-Thach Quach (Media Watermarking, Security, and Forensics, 2016)

A Diffusion Model for Maximizing Influence Spread in Large Networks. - Tu-Thach Quach; Jeremy D. Wendt (SocInfo (1), 2016)

Vehicle Track Segmentation Using Higher Order Random Fields. - Tu-Thach Quach (IEEE Geosci. Remote. Sens. Lett., 2017)

Polarimetric Synthetic-Aperture-Radar Change-Type Classification With a Hyperparameter-Free Open-Set Classifier. - Mark W. Koch; R. Derek West; Robert Riley 001; Tu-Thach Quach (CVPR Workshops, 2018)

Computing with Spikes: The Advantage of Fine-Grained Timing. - Stephen J. Verzi; Fredrick H. Rothganger; Ojas Parekh; Tu-Thach Quach; Nadine E. Miner; Craig M. Vineyard; Conrad D. James; James B. Aimone (Neural Comput., 2018)

Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification. - Felix Wang; Tu-Thach Quach; Jason Wheeler; James B. Aimone; Conrad D. James (IEEE Trans. Inf. Forensics Secur., 2018)

Optimizing a Compressive Imager for Machine Learning Tasks. - Brian J. Redman; Daniel Calzada; Jamie Wingo; Tu-Thach Quach; Meghan A. Galiardi; Amber L. Dagel; Charles F. LaCasse; Gabriel C. Birch (ACSSC, 2019)

Generalized Boundary Detection Using Compression-based Analytics. - Christina L. Ting; Richard V. Field Jr.; Tu-Thach Quach; Travis L. Bauer (ICASSP, 2019)

Sparse Data Acquisition on Emerging Memory Architectures. - Tu-Thach Quach; Sapan Agarwal; Conrad D. James; Matthew J. Marinella; James B. Aimone (IEEE Access, 2019)

Efficient Generalized Boundary Detection Using a Sliding Information Distance. - Richard V. Field Jr.; Tu-Thach Quach; Christina L. Ting (IEEE Trans. Signal Process., 2020)