Effective text localization in natural scene images with MSER, geometry-based grouping and AdaBoost. - Xuwang Yin; Xu-Cheng Yin; Hong-Wei Hao; Khalid Iqbal (ICPR, 2012)

Sorting-Based Dynamic Classifier Ensemble Selection. - Yan Yan 004; Xu-Cheng Yin; Zhi-Bin Wang; Xuwang Yin; Chun Yang; Hong-Wei Hao (ICDAR, 2013)

Classifier comparison for MSER-based text classification in scene images. - Khalid Iqbal; Xu-Cheng Yin; Xuwang Yin; Hazrat Ali; Hong-Wei Hao (IJCNN, 2013)

Accurate and robust text detection: a step-in for text retrieval in natural scene images. - Xu-Cheng Yin; Xuwang Yin; Kaizhu Huang; Hong-Wei Hao (SIGIR, 2013)

Robust Text Detection in Natural Scene Images - Xu-Cheng Yin; Xuwang Yin; Kaizhu Huang (CoRR, 2013)

A central tendency-based privacy preserving model for sensitive XML association rules using Bayesian networks. - Khalid Iqbal; Xu-Cheng Yin; Hong-Wei Hao; Qazi Mudassar Ilyas; Xuwang Yin (Intell. Data Anal., 2014)

Robust Text Detection in Natural Scene Images. - Xu-Cheng Yin; Xuwang Yin; Kaizhu Huang; Hong-Wei Hao (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Obj2Text: Generating Visually Descriptive Language from Object Layouts. - Xuwang Yin; Vicente Ordonez (EMNLP, 2017)

Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks. - Jianfeng Chi; Emmanuel Owusu; Xuwang Yin; Tong Yu 001; William Chan; Yiming Liu; Haodong Liu; Jiasen Chen; Swee Sim; Vibha Iyengar; Patrick Tague; Yuan Tian 001 (SEC, 2018)

Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase. - Jianfeng Chi; Emmanuel Owusu; Xuwang Yin; Tong Yu 001; William Chan; Patrick Tague; Yuan Tian 001 (CoRR, 2018)

Chat-crowd: A Dialog-based Platform for Visual Layout Composition. - Xuwang Yin; Vicente Ordonez; Song Feng 002 (CoRR, 2018)

F-DIT-V: An Automated Video Classification Tool for Facial Weakness Detection. - Yan Zhuang; Omar Uribe; Mark M. McDonald; Xuwang Yin; Dhyey Parikh; Andrew Southerland; Gustavo K. Rohde (BHI, 2019)

Chat-crowd: A Dialog-based Platform for Visual Layout Composition. - Paola Cascante-Bonilla; Xuwang Yin; Vicente Ordonez; Song Feng 002 (NAACL-HLT (Demonstrations), 2019)

Divide-and-Conquer Adversarial Detection. - Xuwang Yin; Soheil Kolouri; Gustavo K. Rohde (CoRR, 2019)

Neural Networks, Hypersurfaces, and Radon Transforms. - Soheil Kolouri; Xuwang Yin; Gustavo K. Rohde (CoRR, 2019)

Poster: A Pilot Study On Camera-based Neurological Deficit Detection. - Yan Zhuang; Mohamed Hassan; Chad M. Aldridge; Xuwang Yin; Timothy McMurry; Andrew M. Southerland; Gustavo K. Rohde (CHASE, 2020)

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification. - Xuwang Yin; Soheil Kolouri; Gustavo K. Rohde (ICLR, 2020)

Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection. - Xuwang Yin; Shiying Li 002; Gustavo K. Rohde (CoRR, 2020)

Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes]. - Soheil Kolouri; Xuwang Yin; Gustavo K. Rohde (IEEE Signal Process. Mag., 2020)

Facial Weakness Analysis and Quantification of Static Images. - Yan Zhuang; Mark M. McDonald; Omar Uribe; Xuwang Yin; Dhyey Parikh; Andrew Southerland; Gustavo K. Rohde (IEEE J. Biomed. Health Informatics, 2020)

A Pilot Study on Video-based Eye Movement Assessment of the NeuroEye Examination. - Mohamed Abul Hassan; Xuwang Yin; Yan Zhuang; Chad M. Aldridge; Timothy McMurry; Andrew M. Southerland; Gustavo K. Rohde (BHI, 2021)

Radon Cumulative Distribution Transform Subspace Modeling for Image Classification. - Mohammad Shifat-E.-Rabbi; Xuwang Yin; Abu Hasnat Mohammad Rubaiyat; Shiying Li 002; Soheil Kolouri; Akram Aldroubi; Jonathan M. Nichols; Gustavo K. Rohde (J. Math. Imaging Vis., 2021)

Learning Energy-Based Models with Adversarial Training. - Xuwang Yin; Shiying Li 002; Gustavo K. Rohde (ECCV (5), 2022)

Generative Robust Classification. - Xuwang Yin (CoRR, 2022)

Representation Engineering: A Top-Down Approach to AI Transparency. - Andy Zou; Long Phan; Sarah Li Chen; James Campbell; Phillip Guo; Richard Ren; Alexander Pan; Xuwang Yin; Mantas Mazeika; Ann-Kathrin Dombrowski; Shashwat Goel; Nathaniel Li; et al. (CoRR, 2023)

Learning Globally Optimized Language Structure via Adversarial Training. - Xuwang Yin (CoRR, 2023)

Invariance encoding in sliced-Wasserstein space for image classification with limited training data. - Mohammad Shifat-E.-Rabbi; Yan Zhuang; Shiying Li 002; Abu Hasnat Mohammad Rubaiyat; Xuwang Yin; Gustavo K. Rohde (Pattern Recognit., 2023)

Approach to Quantify Eye Movements to Augment Stroke Diagnosis With a Non-Calibrated Eye-Tracker. - Mohamed Abul Hassan; Chad M. Aldridge; Yan Zhuang; Xuwang Yin; Timothy McMurry; Gustavo K. Rohde; Andrew M. Southerland (IEEE Trans. Biomed. Eng., 2023)

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. - Mantas Mazeika; Long Phan; Xuwang Yin; Andy Zou; Zifan Wang 001; Norman Mu; Elham Sakhaee; Nathaniel Li; Steven Basart; Bo Li 026; David A. Forsyth; Dan Hendrycks (ICML, 2024)

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? - Richard Ren; Steven Basart; Adam Khoja; Alice Gatti; Long Phan; Xuwang Yin; Mantas Mazeika; Alexander Pan; Gabriel Mukobi; Ryan H. Kim; Stephen Fitz; Dan Hendrycks (NeurIPS, 2024)

A Digital Camera-Based Eye Movement Assessment Method for NeuroEye Examination. - Mohamed Abul Hassan; Xuwang Yin; Yan Zhuang; Chad M. Aldridge; Timothy McMurry; Andrew M. Southerland; Gustavo K. Rohde (IEEE J. Biomed. Health Informatics, 2024)

End-to-End Signal Classification in Signed Cumulative Distribution Transform Space. - Abu Hasnat Mohammad Rubaiyat; Shiying Li 002; Xuwang Yin; Mohammad Shifat-E.-Rabbi; Yan Zhuang; Gustavo K. Rohde (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Local sliced Wasserstein feature sets for illumination invariant face recognition. - Yan Zhuang; Shiying Li 002; Mohammad Shifat-E.-Rabbi; Xuwang Yin; Abu Hasnat Mohammad Rubaiyat; Gustavo K. Rohde (Pattern Recognit., 2025)

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs. - Mantas Mazeika; Xuwang Yin; Rishub Tamirisa; Jaehyuk Lim; Bruce W. Lee; Richard Ren; Long Phan; Norman Mu; Adam Khoja; Oliver Zhang; Dan Hendrycks (CoRR, 2025)

The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems. - Richard Ren; Arunim Agarwal; Mantas Mazeika; Cristina Menghini; Robert Vacareanu; Brad Kenstler; Mick Yang; Isabelle Barrass; Alice Gatti; Xuwang Yin; Eduardo Trevino; Matias Geralnik; et al. (CoRR, 2025)