David Solans
Pompeu Fabra University
12 Papers
14 Citations
David Solans is an academic researcher from Pompeu Fabra University. The author has contributed to research in topics: Computer science & Adversarial machine learning. The author has an hindex of 4, co-authored 9 publications. Previous affiliations of David Solans include CA Technologies.
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Papers
Graph-based root cause analysis for service-oriented and microservice architectures
TL;DR: This work presents a root cause analysis framework, based on graph representations of service-oriented architectures and microservices, that can be used to compare any anomalous situation that happens in the system with a library of anomalous graphs that serves as a knowledge base for the user troubleshooting those anomalies.
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Poisoning Attacks on Algorithmic Fairness
David Solans,Battista Biggio,Carlos Castillo +2 more
- 14 Sep 2020
TL;DR: In this paper, a gradient-based poisoning attack is proposed to introduce classification disparities among different groups in the data, and the attack is effective not only in the white-box setting, but also in a more challenging black-box scenario in which the attacks are optimized against a substitute model and then transferred to the target model.
ALOHA: an architectural-aware framework for deep learning at the edge
Paolo Meloni,Daniela Loi,Gianfranco Deriu,Andy D. Pimentel,Dolly Sapra,Bernhard Moser,Natalia Shepeleva,Francesco Conti,Luca Benini,Oscar Ripolles,David Solans,Maura Pintor,Battista Biggio,Todor Stefanov,Svetlana Minakova,N. Fragoulis,Ilias Theodorakopoulos,Michael Masin,Francesca Palumbo +18 more
- 04 Oct 2018
TL;DR: The ALOHA framework is described, that proposes a solution to the issue of effort and skills required to develop new DL models, or to adapt existing ones to new use-cases by means of an integrated tool flow that automates most phases of the development process.
Gender Disparities in Child Custody Sentencing in Spain: a Data Driven Analysis
Júlia Riera,David Solans,Marzieh Karimi Haghighi,Carlos Castillo,Caterina Calsamiglia +4 more
- 19 Jun 2023
TL;DR: Data-driven analysis of gender disparities in child custody sentencing in Spain reveals significant differences in how legal arguments and facts are utilized, depending on the gender of the plaintiff and judge.
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Task-Specific Automation in Deep Learning Processes
Georg Buchgeher,Gerald Czech,Adriano Souza Ribeiro,Werner Kloihofer,Paolo Meloni,Paola Busia,Gianfranco Deriu,Maura Pintor,Battista Biggio,Cristina Chesta,Luca Rinelli,David Solans,Manuel Portela +12 more
- 27 Sep 2021
TL;DR: In this paper, the ALOHA tool flow pipeline is proposed to automate the task-specific glue code in deep learning projects with respect to specific tasks and technologies, and the results show that partial automation of pipeline orchestration can decrease the overall development effort.
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