A human approach to security management in health care. - H. James; K. Andronis; William Paul (SEC, 1996)

Lest we remember: cold-boot attacks on encryption keys. - J. Alex Halderman; Seth D. Schoen; Nadia Heninger; William Clarkson; William Paul; Joseph A. Calandrino; Ariel J. Feldman; Jacob Appelbaum; Edward W. Felten (Commun. ACM, 2009)

Real-Time Machine Learning: The Missing Pieces. - Robert Nishihara; Philipp Moritz; Stephanie Wang; Alexey Tumanov; William Paul; Johann Schleier-Smith; Richard Liaw; Mehrdad Niknami; Michael I. Jordan; Ion Stoica (HotOS, 2017)

Ray: A Distributed Framework for Emerging AI Applications. - Philipp Moritz; Robert Nishihara; Stephanie Wang; Alexey Tumanov; Richard Liaw; Eric Liang; William Paul; Michael I. Jordan; Ion Stoica (CoRR, 2017)

Ray: A Distributed Framework for Emerging AI Applications. - Philipp Moritz; Robert Nishihara; Stephanie Wang; Alexey Tumanov; Richard Liaw; Eric Liang; Melih Elibol; Zongheng Yang; William Paul; Michael I. Jordan; Ion Stoica (OSDI, 2018)

Hierarchical Variational Imitation Learning of Control Programs. - Roy Fox; Richard Shin; William Paul; Yitian Zou; Dawn Song; Ken Goldberg; Pieter Abbeel; Ion Stoica (CoRR, 2019)

AI-based detection of erythema migrans and disambiguation against other skin lesions. - Philippe M. Burlina; Neil J. Joshi; Phil A. Mathew; William Paul; Alison W. Rebman; John N. Aucott (Comput. Biol. Medicine, 2020)

Unsupervised Semantic Attribute Discovery and Control in Generative Models. - William Paul; I-Jeng Wang; Fady Alajaji; Philippe Burlina (CoRR, 2020)

Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. - Philippe Burlina; Neil Joshi; William Paul; Katia D. Pacheco; Neil M. Bressler (CoRR, 2020)

Rényi Generative Adversarial Networks. - Himesh Bhatia; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (CoRR, 2020)

AI Progress in Skin Lesion Analysis. - Philippe M. Burlina; William Paul; Phil A. Mathew; Neil J. Joshi; Alison W. Rebman; John N. Aucott (CoRR, 2020)

RENATA: REpreseNtation And Training Alteration for Bias Mitigation. - William Paul; Armin Hadzic; Neil Joshi; Philippe Burlina (CoRR, 2020)

Defending Medical Image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics. - William Paul; Yinzhi Cao; Miaomiao Zhang; Philippe Burlina (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods. - William Paul; Yinzhi Cao; Miaomiao Zhang; Philippe Burlina (CoRR, 2021)

Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes. - William Paul; Philippe Burlina (CoRR, 2021)

Least kth-Order and Rényi Generative Adversarial Networks. - Himesh Bhatia; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (Neural Comput., 2021)

Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection. - William Paul; I-Jeng Wang; Fady Alajaji; Philippe Burlina (Neural Comput., 2021)

Robustness and Adaptation to Hidden Factors of Variation. - William Paul; Philippe Burlina (CVPR Workshops, 2022)

Rényi Fair Information Bottleneck for Image Classification. - Adam Gronowski; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (CWIT, 2022)

EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. - Haolin Yuan; Armin Hadzic; William Paul; Daniella Villegas de Flores; Philip Mathew; John N. Aucott; Yinzhi Cao; Philippe Burlina (CoRR, 2022)

Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures. - Adam Gronowski; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (CoRR, 2022)

TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. - William Paul; Armin Hadzic; Neil Joshi; Fady Alajaji; Philippe Burlina (Neural Comput., 2022)

Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. - Arun V. Reddy; Ketul Shah; William Paul; Rohita Mocharla; Judy Hoffman; Kapil D. Katyal; Dinesh Manocha; Celso M. de Melo; Rama Chellappa (ICRA, 2023)

EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. - Haolin Yuan; John N. Aucott; Armin Hadzic; William Paul; Marcia Villegas de Flores; Philip Mathew; Philippe Burlina; Yinzhi Cao (MICCAI (4), 2023)

Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility. - William Paul; Philip Mathew; Fady Alajaji; Philippe Burlina (CoRR, 2023)

Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training. - Arun V. Reddy; William Paul; Corban Rivera; Ketul Shah; Celso M. de Melo; Rama Chellappa (CVPR, 2024)

PFEDEDIT: Personalized Federated Learning via Automated Model Editing. - Haolin Yuan; William Paul; John N. Aucott; Philippe Burlina; Yinzhi Cao (ECCV (79), 2024)

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. - Qiao Gu; Ali Kuwajerwala; Sacha Morin; Krishna Murthy Jatavallabhula; Bipasha Sen; Aditya Agarwal; Corban Rivera; William Paul; Kirsty Ellis; Rama Chellappa; Chuang Gan 001; Celso Miguel de Melo; et al. (ICRA, 2024)

An Evaluation of Large Pre-Trained Models for Gesture Recognition using Synthetic Videos. - Arun V. Reddy; Ketul Shah; Corban Rivera; William Paul; Celso M. de Melo; Rama Chellappa (CoRR, 2024)

ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution. - Corban Rivera; Grayson Byrd; William Paul; Tyler Feldman; Meghan Booker; Emma Holmes; David Handelman; Bethany Kemp; Andrew Badger; Aurora Schmidt; Krishna Murthy Jatavallabhula; Celso M. de Melo; et al. (CoRR, 2024)

Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures. - Adam Gronowski; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (IEEE Trans. Inf. Forensics Secur., 2024)