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08/08/2023
A Survey on Decentralized Federated Learning
In recent years, federated learning (FL) has become a very popular parad...
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03/29/2023
A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates
In this work, we propose FLANDERS, a novel federated learning (FL) aggre...
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11/03/2022
MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction
In this work, we propose MUSTACHE, a new page cache replacement algorith...
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09/20/2022
Sparse Vicious Attacks on Graph Neural Networks
Graph Neural Networks (GNNs) have proven to be successful in several pre...
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10/22/2021
ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models
The demand for explainable machine learning (ML) models has been growing...
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10/05/2021
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
In this work, we formulate NEWRON: a generalization of the McCulloch-Pit...
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04/21/2021
Covert Channel Attack to Federated Learning Systems
Federated learning (FL) goes beyond traditional, centralized machine lea...
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02/05/2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Graph neural networks (GNNs) have shown increasing promise in real-world...
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07/02/2019
Treant: Training Evasion-Aware Decision Trees
Despite its success and popularity, machine learning is now recognized a...
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04/03/2018
You Must Have Clicked on this Ad by Mistake! Data-Driven Identification of Accidental Clicks on Mobile Ads with Applications to Advertiser Cost Discounting and Click-Through Ra
In the cost per click (CPC) pricing model, an advertiser pays an ad netw...
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01/31/2018
Advertising in the IoT Era: Vision and Challenges
The Internet of Things (IoT) extends the idea of interconnecting compute...
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06/20/2017
