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09/07/2023
On the Reduction of the Spherical Point-in-Polygon Problem for Antipode-Excluding Spherical Polygons
Spherical polygons used in practice are nice, but the spherical point-in...
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07/03/2023
Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification
The Dissemination Process Classification (DPC) is a popular application ...
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06/14/2023
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
Recent deep neural networks (DNNs) have come to rely on vast amounts of ...
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06/14/2023
A Proxy-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
Poisoning efficiency is a crucial factor in poisoning-based backdoor att...
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03/16/2023
Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers
In this paper, we present our solutions to the two sub-challenges of Aff...
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02/06/2023
Domain Re-Modulation for Few-Shot Generative Domain Adaptation
In this study, we investigate the task of few-shot Generative Domain Ada...
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07/14/2022
Forcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization
With video-level labels, weakly supervised temporal action localization ...
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04/22/2022
Data-Efficient Backdoor Attacks
Recent studies have proven that deep neural networks are vulnerable to b...
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11/09/2021
A Statistical Difference Reduction Method for Escaping Backdoor Detection
Recent studies show that Deep Neural Networks (DNNs) are vulnerable to b...
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11/09/2021
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search
Numerous studies have demonstrated that deep neural networks are easily ...
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03/24/2021
CrossFix: Collaborative bug fixing by recommending similar bugs
Many automated program repair techniques have been proposed for fixing b...
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03/20/2021
Are High-Frequency Components Beneficial for Training of Generative Adversarial Networks
Advancements in Generative Adversarial Networks (GANs) have the ability ...
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01/07/2021
Understanding the Error in Evaluating Adversarial Robustness
Deep neural networks are easily misled by adversarial examples. Although...
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11/29/2020
GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course
Many studies have shown the benefits of introducing open-source projects...
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08/19/2020
Regularization And Normalization For Generative Adversarial Networks: A Review
Generative adversarial networks(GANs) is a popular generative model. Wit...
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08/19/2020
Direct Adversarial Training for GANs
There is an interesting discovery that several neural networks are vulne...
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07/02/2020
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors
Precise segmentation of organs and tumors plays a crucial role in clinic...
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07/15/2019
CA-RefineNet:A Dual Input WSI Image Segmentation Algorithm Based on Attention
Due to the high resolution of pathological images, the automated semanti...
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07/15/2019