Search Results - "Faustini, Pedro"

Fake news detection in multiple platforms and languages by Faustini, Pedro Henrique Arruda, Covões, Thiago Ferreira

“…•We perform a comparison of fake news detection in three languages and two platforms.•We employ platform/language independent feature sets.•Our results show…”
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Using NFV and Reinforcement Learning for Anomalies Detection and Mitigation in SDN by Sampaio, Lauren S. R., Faustini, Pedro H. A., Silva, Anderson S., Granville, Lisandro Z., Schaeffer-Filho, Alberto

“…Computer networks are subject to several anomalies, which leads to the necessity of techniques to coordinate detection and mitigation to keep the network…”
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Suspiciousness of Adversarial Texts to Human by Tonni, Shakila Mahjabin, Faustini, Pedro, Dras, Mark

“…Adversarial examples pose a significant challenge to deep neural networks (DNNs) across both image and text domains, with the intent to degrade model…”
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Fake News Detection Using One-Class Classification by Faustini, Pedro, Covoes, Thiago

“…Fake news have attracted attention of general public because of the influence they can exert on important activities of society, such as elections. Efforts…”
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NFRs early estimation through software metrics by Vieira, Andrws, Faustini, Pedro, Carro, Luigi, Cota, Erika

“…We propose the use of regression analysis to generate accurate predictive models for physical metrics using design metrics as input. We validate our approach…”
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Answering Unanswered Questions through Semantic Reformulations in Spoken QA by Faustini, Pedro, Chen, Zhiyu, Fetahu, Besnik, Rokhlenko, Oleg, Malmasi, Shervin

“…Spoken Question Answering (QA) is a key feature of voice assistants, usually backed by multiple QA systems. Users ask questions via spontaneous speech which…”
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Directional Privacy for Deep Learning by Faustini, Pedro, Fernandes, Natasha, Tonni, Shakila, McIver, Annabelle, Dras, Mark

“…Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method for applying privacy in the training of deep learning models. It applies isotropic…”
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IDT: Dual-Task Adversarial Attacks for Privacy Protection by Faustini, Pedro, Tonni, Shakila Mahjabin, McIver, Annabelle, Xu, Qiongkai, Dras, Mark

“…Natural language processing (NLP) models may leak private information in different ways, including membership inference, reconstruction or attribute inference…”
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Bayes' capacity as a measure for reconstruction attacks in federated learning by Biswas, Sayan, Dras, Mark, Faustini, Pedro, Fernandes, Natasha, McIver, Annabelle, Palamidessi, Catuscia, Sadeghi, Parastoo

“…Within the machine learning community, reconstruction attacks are a principal attack of concern and have been identified even in federated learning, which was…”
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Follow-on Question Suggestion via Voice Hints for Voice Assistants by Fetahu, Besnik, Faustini, Pedro, Castellucci, Giuseppe, Fang, Anjie, Rokhlenko, Oleg, Malmasi, Shervin

“…The adoption of voice assistants like Alexa or Siri has grown rapidly, allowing users to instantly access information via voice search. Query suggestion is a…”
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Using Software Metrics to Estimate the Impact of Maintenance in the Performance of Embedded Software by Vieira, Andrws, Faustini, Pedro, Cota, Erika

“…This paper proposes a strategy to assist the designer in evaluating the impact of a design choice with respect to the non-functional requirements in embedded…”
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Early Estimation of NFRs for Embedded System Using Design Metrics by Vieira, Andrws, Faustini, Pedro, Carro, Luigi, Cota, Erika

“…In this paper, an approach is proposed to assist the designer in evaluating the impact of a design choice with respect to the Non-Functional Requirements…”
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