Követés
Pedro Faustini
Pedro Faustini
E-mail megerősítve itt: students.mq.edu.au - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Fake news detection in multiple platforms and languages
PHA Faustini, TF Covoes
Expert Systems with Applications 158, 113503, 2020
1922020
Fake news detection using one-class classification
P Faustini, T Covões
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 592-597, 2019
582019
Using NFV and reinforcement learning for anomalies detection and mitigation in SDN
LSR Sampaio, PHA Faustini, AS Silva, LZ Granville, A Schaeffer-Filho
2018 IEEE symposium on computers and communications (ISCC), 00432-00437, 2018
352018
Answering unanswered questions through semantic reformulations in spoken QA
P Faustini, Z Chen, B Fetahu, O Rokhlenko, S Malmasi
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
42023
Follow-on question suggestion via voice hints for voice assistants
B Fetahu, P Faustini, G Castellucci, A Fang, O Rokhlenko, S Malmasi
Findings of the Association for Computational Linguistics: EMNLP 2023, 310–325, 2023
32023
Using software metrics to estimate the impact of maintenance in the performance of embedded software
A Vieira, P Faustini, É Cota
2014 IEEE International Conference on Software Maintenance and Evolution …, 2014
32014
Directional privacy for deep learning
P Faustini, N Fernandes, S Tonni, A McIver, M Dras
arXiv preprint arXiv:2211.04686, 2022
22022
Bayes' capacity as a measure for reconstruction attacks in federated learning
S Biswas, M Dras, P Faustini, N Fernandes, A McIver, C Palamidessi, ...
Protect-IT Workshop at the 37th IEEE Computer Security Foundations Symposium …, 2024
12024
NFRs early estimation through software metrics
A Vieira, P Faustini, L Carro, É Cota
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 329-332, 2015
12015
Comparing privacy notions for protection against reconstruction attacks in machine learning
S Biswas, M Dras, P Faustini, N Fernandes, A McIver, C Palamidessi, ...
arXiv preprint arXiv:2502.04045, 2025
2025
Graded Suspiciousness of Adversarial Texts to Human
SM Tonni, P Faustini, M Dras
arXiv preprint arXiv:2410.04377, 2024
2024
Suspiciousness of Adversarial Texts to Human
S Mahjabin Tonni, P Faustini, M Dras
arXiv e-prints, arXiv: 2410.04377, 2024
2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection
P Faustini, SM Tonni, A McIver, Q Xu, M Dras
arXiv preprint arXiv:2406.19642, 2024
2024
Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants
P Faustini, B Fetahu, G Castellucci, A Fang, O Rokhlenko, S Malmasi
INTERSPEECH 2023, 3427--3431, 2023
2023
Early Estimation of NFRs for Embedded System Using Design Metrics
A Vieira, P Faustini, L Carro, É Cota
2014 Brazilian Symposium on Computing Systems Engineering, 85-90, 2014
2014
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Cikkek 1–15