Using Software Metrics to Estimate the Impact of Maintenance in the Performance of Embedded Software. - Andrws Vieira; Pedro Faustini; Érika F. Cota (ICSME, 2014)

Early Estimation of NFRs for Embedded System Using Design Metrics. - Andrws Vieira; Pedro Faustini; Luigi Carro; Érika F. Cota (SBESC, 2014)

NFRs early estimation through software metrics. - Andrws Vieira; Pedro Faustini; Luigi Carro; Érika F. Cota (DATE, 2015)

Emprego de NFV e Aprendizagem por Reforço para Detectar e Mitigar Anomalias em Redes Definidas por Software. - Pedro H. A. Faustini; Anderson Santos da Silva; Lisandro Z. Granville; Alberto E. Schaeffer-Filho (SBRC, 2017)

Using NFV and Reinforcement Learning for Anomalies Detection and Mitigation in SDN. - Lauren S. R. Sampaio; Pedro H. A. Faustini; Anderson Santos da Silva; Lisandro Zambenedetti Granville; Alberto E. Schaeffer Filho (ISCC, 2018)

Fake News Detection Using One-Class Classification. - Pedro Faustini; Thiago Ferreira Covões (BRACIS, 2019)

Directional Privacy for Deep Learning. - Pedro Faustini; Natasha Fernandes; Annabelle McIver; Mark Dras (CoRR, 2022)

Answering Unanswered Questions through Semantic Reformulations in Spoken QA. - Pedro Faustini; Zhiyu Chen 001; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (industry), 2023)

Follow-on Question Suggestion via Voice Hints for Voice Assistants. - Besnik Fetahu; Pedro Faustini; Anjie Fang; Giuseppe Castellucci; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Findings), 2023)

Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants. - Pedro Faustini; Besnik Fetahu; Giuseppe Castellucci; Anjie Fang; Oleg Rokhlenko; Shervin Malmasi (INTERSPEECH, 2023)

Bayes' capacity as a measure for reconstruction attacks in federated learning. - Sayan Biswas; Mark Dras; Pedro Faustini; Natasha Fernandes; Annabelle McIver; Catuscia Palamidessi; Parastoo Sadeghi (CoRR, 2024)

IDT: Dual-Task Adversarial Attacks for Privacy Protection. - Pedro Faustini; Shakila Mahjabin Tonni; Annabelle McIver; Qiongkai Xu; Mark Dras (CoRR, 2024)

Suspiciousness of Adversarial Texts to Human. - Shakila Mahjabin Tonni; Pedro Faustini; Mark Dras (CoRR, 2024)

Comparing privacy notions for protection against reconstruction attacks in machine learning. - Sayan Biswas; Mark Dras; Pedro Faustini; Natasha Fernandes; Annabelle McIver; Catuscia Palamidessi; Parastoo Sadeghi (CoRR, 2025)

Empirical Calibration and Metric Differential Privacy in Language Models. - Pedro Faustini; Natasha Fernandes; Annabelle McIver; Mark Dras (CoRR, 2025)