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   Articles with "adversarial training" as a keyword



Sliced Wasserstein adversarial training for improving adversarial robustness

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recommendations! Published in 2024 at "Journal of Ambient Intelligence and Humanized Computing"

DOI: 10.1007/s12652-024-04791-1

Abstract: Recently, deep-learning-based models have achieved impressive performance on tasks that were previously considered to be extremely challenging. However, recent works have shown that various deep learning models are susceptible to adversarial data samples. In this… read more here.

Keywords: wasserstein adversarial; training; sliced wasserstein; adversarial training ... See more keywords

Adversarial training based lattice LSTM for Chinese clinical named entity recognition

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recommendations! Published in 2019 at "Journal of biomedical informatics"

DOI: 10.1016/j.jbi.2019.103290

Abstract: Clinical named entity recognition (CNER), which intends to automatically detect clinical entities in electronic health record (EHR), is a committed step for further clinical text mining. Recently, more and more deep learning models are used… read more here.

Keywords: clinical named; entity recognition; adversarial training; lattice lstm ... See more keywords
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De novo generation of dual-target ligands using adversarial training and reinforcement learning.

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recommendations! Published in 2021 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbab333

Abstract: Artificial intelligence, such as deep generative methods, represents a promising solution to de novo design of molecules with the desired properties. However, generating new molecules with biological activities toward two specific targets remains an extremely… read more here.

Keywords: dual target; novo generation; target; adversarial training ... See more keywords

Prostate MR Image Segmentation With Self-Attention Adversarial Training Based on Wasserstein Distance

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2959611

Abstract: Prostate diseases are very common in men. Accurate segmentation of the prostate plays a significant role in further clinical treatment and diagnosis. There have been some methods that combine the segmentation network and generative adversarial… read more here.

Keywords: adversarial training; prostate; attention; segmentation ... See more keywords

Adversarial Training Improved Multi-Path Multi-Scale Relation Detector for Knowledge Base Question Answering

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2984393

Abstract: Knowledge Base Question Answering (KBQA) is a promising approach for users to access substantial knowledge and has become a research focus in recent years. Our paper focuses on relation detection, a subtask of KBQA and… read more here.

Keywords: question; adversarial training; knowledge base; relation ... See more keywords

Self-Supervised Animation Synthesis Through Adversarial Training

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3008523

Abstract: In this paper, we propose a novel deep generative model for image animation synthesis. Based on self-supervised learning and adversarial training, the model can find labeling rules and mark them without origin sample labels. In… read more here.

Keywords: self supervised; adversarial training; animation synthesis; animation ... See more keywords

Directional Adversarial Training for Robust Ownership-Based Recommendation System

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3140352

Abstract: Machine learning algorithms are susceptible to cyberattacks, posing security problems in computer vision, speech recognition, and recommendation systems. So far, researchers have made great strides in adopting adversarial training as a defensive strategy. Single-step adversarial… read more here.

Keywords: recommendation; training; directional adversarial; adversarial training ... See more keywords

Adversarial Training for Fake News Classification

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3195030

Abstract: News is a source of information to know about progress in the various areas of life all across the globe. However, the volume of this information is high, and getting benefits from the available information… read more here.

Keywords: baseline; classification; fake news; news ... See more keywords

Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3200159

Abstract: Health mention classification (HMC) involves the classification of an input text as health mention or not. Figurative and non-health mention of disease words makes the classification task challenging. Learning the context of the input text… read more here.

Keywords: classification; adversarial training; mention classification; health mention ... See more keywords

AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3213734

Abstract: Adversarial training is exploited to develop a robust Deep Neural Network (DNN) model against the malicious altered data. These attacks may have catastrophic effects on DNN models but are indistinguishable for a human being. For… read more here.

Keywords: accelerating adversarial; training; deep neural; accuracy gradient ... See more keywords

Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3432773

Abstract: Machine learning algorithms based on deep neural networks have been widely used in many fields especially in computer vision, with impressive results. However, these models are vulnerable to different types of attacks like adversarial ones,… read more here.

Keywords: based personalized; using beta; activation; activation functions ... See more keywords