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07/26/2023
Unveiling Security, Privacy, and Ethical Concerns of ChatGPT
This paper delves into the realm of ChatGPT, an AI-powered chatbot that ...
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07/10/2023
Accelerating Secure and Verifiable Data Deletion in Cloud Storage via SGX and Blockchain
Secure data deletion enables data owners to fully control the erasure of...
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05/14/2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
This paper considers a novel application of deep AUC maximization (DAM) ...
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12/17/2022
Interaction design for socially assistive robots for people with developmental disabilities
Social robots, also known as service or assistant robots, have been deve...
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03/27/2022
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices
The area under the ROC curve (AUROC) has been vigorously applied for imb...
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03/01/2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
In this paper, we propose systematic and efficient gradient-based method...
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05/19/2021
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
The volume estimation of brain regions from MRI data is a key problem in...
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10/23/2020
Identifying Similar Movie Characters Quickly but Effectively Using Non-exhaustive Pair-wise Attention
Identifying similar movie characters is a captivating task that can be o...
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08/05/2020
Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints
In this paper, we consider the problem of designing optimal pooling matr...
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07/29/2020
Error Correction Codes for COVID-19 Virus and Antibody Testing: Using Pooled Testing to Increase Test Reliability
We consider a novel method to increase the reliability of COVID-19 virus...
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07/02/2020
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning
Segmentation of multiple surfaces in medical images is a challenging pro...
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07/02/2020
Globally Optimal Surface Segmentation using Deep Learning with Learnable Smoothness Priors
Automated surface segmentation is important and challenging in many medi...
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05/19/2020
Unsupervised anomaly localization using VAE and beta-VAE
Variational Auto-Encoders (VAEs) have shown great potential in the unsup...
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03/26/2020
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks
Recent works have demonstrated the existence of adversarial examples ta...
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03/17/2020
Author2Vec: A Framework for Generating User Embedding
Online forums and social media platforms provide noisy but valuable data...
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06/11/2019
3-D Surface Segmentation Meets Conditional Random Fields
Automated surface segmentation is important and challenging in many medi...
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05/25/2019
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks
Deep-learning based classification algorithms have been shown to be susc...
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03/26/2019
What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival
Non-small-cell lung cancer (NSCLC) represents approximately 80-85 cancer...
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03/20/2019
Robust Image Segmentation Quality Assessment without Ground Truth
Deep learning based image segmentation methods have achieved great succe...
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10/26/2018
Outlier Detection using Generative Models with Theoretical Performance Guarantees
This paper considers the problem of recovering signals from compressed m...
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08/01/2018
Social Robots for People with Developmental Disabilities: A User Study on Design Features of a Graphical User Interface
Social robots, also known as service or assistant robots, have been deve...
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05/22/2017
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors
Shape priors have been widely utilized in medical image segmentation to ...
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05/19/2017
Simultaneous Multiple Surface Segmentation Using Deep Learning
The task of automatically segmenting 3-D surfaces representing boundarie...
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11/09/2016
