State-of-the-Art Innovations
to Prevent Financial Risk

The Feedzai Research department invests in applied research to improve our products and help users have a better experience. We work closely with Product and Customer Success to develop and transfer innovations. We focus on long-term, disruptive, state-of-the-art research, produce and protect our IP, publish peer reviewed work, contribute to open-source, partner with external researchers, and sponsor scholarships.

Recent Publications

The GANfather: Controllable generation of malicious activity to improve defence systems

Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro

arXiv

From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs

Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, João Ascensão, Pedro Ribeiro, Pedro Bizarro

arXiv | Poster | Youtube

A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies

Ada Martin, Valerie Chen, Sérgio Jesus, Pedro Saleiro

Published at ICLR 2023 workshop Trustworthy ML

arXiv

Fairness-Aware Data Valuation for Supervised Learning

José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

Published at ICLR 2023 workshop Trustworthy ML

arXiv | Youtube

The GANfather: Controllable generation of malicious activity to improve defence systems

Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro

arXiv

From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs

Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, João Ascensão, Pedro Ribeiro, Pedro Bizarro

arXiv | Poster | Youtube

A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies

Ada Martin, Valerie Chen, Sérgio Jesus, Pedro Saleiro

Published at ICLR 2023 workshop Trustworthy ML

arXiv

Fairness-Aware Data Valuation for Supervised Learning

José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

Published at ICLR 2023 workshop Trustworthy ML

arXiv | Youtube

Recent Blog Posts

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