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05/20/2023
Meta Neural Coordination
Meta-learning aims to develop algorithms that can learn from other learn...
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04/02/2023
Instance-level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space
Malicious perturbations embedded in input data, known as Trojan attacks,...
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02/02/2023
Meta Learning in Decentralized Neural Networks: Towards More General AI
Meta-learning usually refers to a learning algorithm that learns from ot...
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11/07/2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
Wireless ad hoc federated learning (WAFL) is a fully decentralized colla...
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08/24/2022
UniCon: Unidirectional Split Learning with Contrastive Loss for Visual Question Answering
Visual question answering (VQA) that leverages multi-modality data has a...
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05/24/2022
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning
Federated learning has allowed training of a global model by aggregating...
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03/22/2022
Multi-Source Domain Adaptation Based on Federated Knowledge Alignment
Federated Learning (FL) facilitates distributed model learning to protec...
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03/22/2022
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis
Model poisoning attacks on federated learning (FL) intrude in the entire...
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10/12/2021
Privacy-Preserving Phishing Email Detection Based on Federated Learning and LSTM
Phishing emails that appear legitimate lure people into clicking on the ...
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10/11/2021
Homogeneous Learning: Self-Attention Decentralized Deep Learning
Federated learning (FL) has been facilitating privacy-preserving deep le...
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08/20/2021
Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks
The rapidly increasing number of smart devices on the Internet necessita...
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08/02/2021
Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks
An attack on deep learning systems where intelligent machines collaborat...
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07/30/2021
