William Paul

Orcid: 0000-0001-7620-6361

According to our database1, William Paul authored at least 29 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures.
IEEE Trans. Inf. Forensics Secur., 2024

2023
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training.
CoRR, 2023

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning.
CoRR, 2023

Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility.
CoRR, 2023

EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization.
Neural Comput., 2022

Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures.
CoRR, 2022

EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation.
CoRR, 2022

Rényi Fair Information Bottleneck for Image Classification.
Proceedings of the 17th Canadian Workshop on Information Theory, 2022

Robustness and Adaptation to Hidden Factors of Variation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection.
Neural Comput., 2021

Least kth-Order and Rényi Generative Adversarial Networks.
Neural Comput., 2021

Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes.
CoRR, 2021

Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods.
CoRR, 2021

Defending Medical Image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

2020
RENATA: REpreseNtation And Training Alteration for Bias Mitigation.
CoRR, 2020

AI Progress in Skin Lesion Analysis.
CoRR, 2020

Rényi Generative Adversarial Networks.
CoRR, 2020

Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics.
CoRR, 2020

Unsupervised Semantic Attribute Discovery and Control in Generative Models.
CoRR, 2020

AI-based detection of erythema migrans and disambiguation against other skin lesions.
Comput. Biol. Medicine, 2020

2019
Hierarchical Variational Imitation Learning of Control Programs.
CoRR, 2019

2018
Ray: A Distributed Framework for Emerging AI Applications.
Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

2017
Ray: A Distributed Framework for Emerging AI Applications.
CoRR, 2017

Real-Time Machine Learning: The Missing Pieces.
CoRR, 2017

Real-Time Machine Learning: The Missing Pieces.
Proceedings of the 16th Workshop on Hot Topics in Operating Systems, 2017

2009
Lest we remember: cold-boot attacks on encryption keys.
Commun. ACM, 2009

1996
A human approach to security management in health care.
Proceedings of the Information Systems Security, 1996


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