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02/03/2023
GTV: Generating Tabular Data via Vertical Federated Learning
Generative Adversarial Networks (GANs) have achieved state-of-the-art re...
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11/17/2022
Permutation-Invariant Tabular Data Synthesis
Tabular data synthesis is an emerging approach to circumvent strict regu...
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10/13/2022
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Federated Learning (FL) has emerged as a potentially powerful privacy-pr...
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10/12/2022
FCT-GAN: Enhancing Table Synthesis via Fourier Transform
Synthetic tabular data emerges as an alternative for sharing knowledge w...
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10/11/2022
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners
Thanks to the capacity for long-range dependencies and robustness to irr...
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04/01/2022
CTAB-GAN+: Enhancing Tabular Data Synthesis
While data sharing is crucial for knowledge development, privacy concern...
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02/07/2022
Blind leads Blind: A Zero-Knowledge Attack on Federated Learning
Attacks on Federated Learning (FL) can severely reduce the quality of th...
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01/24/2022
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN
Generative Adversarial Networks (GANs) are increasingly adopted by the i...
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09/19/2021
ComicGAN: Text-to-Comic Generative Adversarial Network
Drawing and annotating comic illustrations is a complex and difficult pr...
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08/18/2021
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
Generative Adversarial Networks (GANs) are typically trained to synthesi...
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07/06/2021
DTGAN: Differential Private Training for Tabular GANs
Tabular generative adversarial networks (TGAN) have recently emerged to ...
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03/19/2021
Enhancing Robustness of On-line Learning Models on Highly Noisy Data
Classification algorithms have been widely adopted to detect anomalies f...
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02/16/2021
CTAB-GAN: Effective Table Data Synthesizing
While data sharing is crucial for knowledge development, privacy concern...
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11/13/2020
An Exploratory Analysis on Users' Contributions in Federated Learning
Federated Learning is an emerging distributed collaborative learning par...
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03/20/2020
Event-Based Control for Online Training of Neural Networks
Convolutional Neural Network (CNN) has become the most used method for i...
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01/28/2020
QActor: On-line Active Learning for Noisy Labeled Stream Data
Noisy labeled data is more a norm than a rarity for self-generated conte...
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11/18/2019
Feedback Control for Online Training of Neural Networks
Convolutional neural networks (CNNs) are commonly used for image classif...
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11/11/2019