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09/14/2023
Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools
Neural Code Completion Tools (NCCTs) have reshaped the field of software...
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09/14/2023
A Multi-scale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing
Remote sensing images are essential for many earth science applications,...
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09/08/2023
PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval
The problem of phase retrieval (PR) involves recovering an unknown image...
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08/30/2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
In the field of parallel imaging (PI), alongside image-domain regulariza...
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08/15/2023
Backpropagation Path Search On Adversarial Transferability
Deep neural networks are vulnerable to adversarial examples, dictating t...
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08/06/2023
Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction
Proximal gradient-based optimization is one of the most common strategie...
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08/04/2023
A Bi-variant Variational Model for Diffeomorphic Image Registration with Relaxed Jacobian Determinant Constraints
Diffeomorphic registration has become a powerful approach for seeking a ...
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07/20/2023
Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection
Performance issues permeate large-scale cloud service systems, which can...
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06/14/2023
On the Robustness of Latent Diffusion Models
Latent diffusion models achieve state-of-the-art performance on a variet...
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06/02/2023
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer – A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
Vulnerability detection is a critical problem in software security and a...
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05/23/2023
Validating Multimedia Content Moderation Software via Semantic Fusion
The exponential growth of social media platforms, such as Facebook and T...
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03/28/2023
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization
Vision transformers (ViTs) have been successfully deployed in a variety ...
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03/28/2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
Deep neural networks have achieved unprecedented success on diverse visi...
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02/11/2023
MTTM: Metamorphic Testing for Textual Content Moderation Software
The exponential growth of social media platforms such as Twitter and Fac...
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10/27/2022
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation
Solving variational image segmentation problems with hidden physics is o...
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05/14/2022
A Unifying Multi-sampling-ratio CS-MRI Framework With Two-grid-cycle Correction and Geometric Prior Distillation
CS is an efficient method to accelerate the acquisition of MR images fro...
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05/13/2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
Due to the labor-intensive nature of manual test oracle construction, va...
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03/31/2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Deep neural networks (DNNs) are known to be vulnerable to adversarial ex...
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10/20/2021
A unifying framework for n-dimensional quasi-conformal mappings
With the advancement of computer technology, there is a surge of interes...
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09/14/2021
Diffeomorphic Image Registration with An Optimal Control Relaxation and Its Implementation
Image registration has played an important role in image processing prob...
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07/11/2021
Deep Geometric Distillation Network for Compressive Sensing MRI
Compressed sensing (CS) is an efficient method to reconstruct MR image f...
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02/09/2021
CNN Application in Detection of Privileged Documents in Legal Document Review
Protecting privileged communications and data from disclosure is paramou...
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12/19/2019
A Framework for Explainable Text Classification in Legal Document Review
Companies regularly spend millions of dollars producing electronically-s...
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12/19/2019
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review
Research has shown that Convolutional Neural Networks (CNN) can be effec...
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06/11/2019
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding
Active learning is a popular methodology in text classification - known ...
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04/03/2019
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters
Protecting privileged communications and data from disclosure is paramou...
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04/03/2019
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding
In today's legal environment, lawsuits and regulatory investigations req...
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04/03/2019
Empirical Evaluations of Active Learning Strategies in Legal Document Review
One type of machine learning, text classification, is now regularly appl...
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04/03/2019
Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness
Predictive coding, once used in only a small fraction of legal and busin...
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09/06/2015