4 Search Results for "Oliveira, Tiago"


Document
Using Machine Learning for Vulnerability Detection and Classification

Authors: Tiago Baptista, Nuno Oliveira, and Pedro Rangel Henriques

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)


Abstract
The work described in this paper aims at developing a machine learning based tool for automatic identification of vulnerabilities on programs (source, high level code), that uses an abstract syntax tree representation. It is based on FastScan, using code2seq approach. Fastscan is a recently developed system aimed capable of detecting vulnerabilities in source code using machine learning techniques. Nevertheless, FastScan is not able of identifying the vulnerability type. In the presented work the main goal is to go further and develop a method to identify specific types of vulnerabilities. As will be shown, the goal will be achieved by optimizing the model’s hyperparameters, changing the method of preprocessing the input data and developing an architecture that brings together multiple models to predict different specific vulnerabilities. The preliminary results obtained from the training stage, are very promising. The best f1 metric obtained is 93% resulting in a precision of 90% and accuracy of 85%, according to the performed tests and regarding a trained model to predict vulnerabilities of the injection type.

Cite as

Tiago Baptista, Nuno Oliveira, and Pedro Rangel Henriques. Using Machine Learning for Vulnerability Detection and Classification. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 14:1-14:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{baptista_et_al:OASIcs.SLATE.2021.14,
  author =	{Baptista, Tiago and Oliveira, Nuno and Henriques, Pedro Rangel},
  title =	{{Using Machine Learning for Vulnerability Detection and Classification}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{14:1--14:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.14},
  URN =		{urn:nbn:de:0030-drops-144315},
  doi =		{10.4230/OASIcs.SLATE.2021.14},
  annote =	{Keywords: Vulnerability Detection, Source Code Analysis, Machine Learning}
}
Document
Exploring Different Methods for Solving Analogies with Portuguese Word Embeddings

Authors: Tiago Sousa, Hugo Gonçalo Oliveira, and Ana Alves

Published in: OASIcs, Volume 83, 9th Symposium on Languages, Applications and Technologies (SLATE 2020)


Abstract
A common way of assessing static word embeddings is to use them for solving analogies of the kind "what is to king as man is to woman?". For this purpose, the vector offset method (king - man + woman = queen), also known as 3CosAdd, has been effectively used for solving analogies and assessing different models of word embeddings in different languages. However, some researchers pointed out that this method is not the most effective for this purpose. Following this, we tested alternative analogy solving methods (3CosMul, 3CosAvg, LRCos) in Portuguese word embeddings and confirmed the previous statement. Specifically, those methods are used to answer the Portuguese version of the Google Analogy Test, dubbed LX-4WAnalogies, which covers syntactic and semantic analogies of different kinds. We discuss the accuracy of different methods applied to different models of embeddings and take some conclusions. Indeed, all methods outperform 3CosAdd, and the best performance is consistently achieved with LRCos, in GloVe.

Cite as

Tiago Sousa, Hugo Gonçalo Oliveira, and Ana Alves. Exploring Different Methods for Solving Analogies with Portuguese Word Embeddings. In 9th Symposium on Languages, Applications and Technologies (SLATE 2020). Open Access Series in Informatics (OASIcs), Volume 83, pp. 9:1-9:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


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@InProceedings{sousa_et_al:OASIcs.SLATE.2020.9,
  author =	{Sousa, Tiago and Gon\c{c}alo Oliveira, Hugo and Alves, Ana},
  title =	{{Exploring Different Methods for Solving Analogies with Portuguese Word Embeddings}},
  booktitle =	{9th Symposium on Languages, Applications and Technologies (SLATE 2020)},
  pages =	{9:1--9:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-165-8},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{83},
  editor =	{Sim\~{o}es, Alberto and Henriques, Pedro Rangel and Queir\'{o}s, Ricardo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2020.9},
  URN =		{urn:nbn:de:0030-drops-130229},
  doi =		{10.4230/OASIcs.SLATE.2020.9},
  annote =	{Keywords: analogies, word embeddings, semantic relations, syntactic relations, Portuguese}
}
Document
Exploring Key-Value Stores in Multi-Writer Byzantine-Resilient Register Emulations

Authors: Tiago Oliveira, Ricardo Mendes, and Alysson Bessani

Published in: LIPIcs, Volume 70, 20th International Conference on Principles of Distributed Systems (OPODIS 2016)


Abstract
Resilient register emulation is a fundamental technique to implement dependable storage and distributed systems. In data-centric models, where servers are modeled as fail-prone base objects, classical solutions achieve resilience by using fault-tolerant quorums of read-write registers or read-modify-write objects. Recently, this model has attracted renewed interest due to the popularity of cloud storage providers (e.g., Amazon S3), that can be modeled as key-value stores (KVSs) and combined for providing secure and dependable multi-cloud storage services. In this paper we present three novel wait-free multi-writer multi-reader regular register emulations on top of Byzantine-prone KVSs. We implemented and evaluated these constructions using five existing cloud storage services and show that their performance matches or surpasses existing data-centric register emulations.

Cite as

Tiago Oliveira, Ricardo Mendes, and Alysson Bessani. Exploring Key-Value Stores in Multi-Writer Byzantine-Resilient Register Emulations. In 20th International Conference on Principles of Distributed Systems (OPODIS 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 70, pp. 30:1-30:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)


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@InProceedings{oliveira_et_al:LIPIcs.OPODIS.2016.30,
  author =	{Oliveira, Tiago and Mendes, Ricardo and Bessani, Alysson},
  title =	{{Exploring Key-Value Stores in Multi-Writer Byzantine-Resilient Register Emulations}},
  booktitle =	{20th International Conference on Principles of Distributed Systems (OPODIS 2016)},
  pages =	{30:1--30:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-031-6},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{70},
  editor =	{Fatourou, Panagiota and Jim\'{e}nez, Ernesto and Pedone, Fernando},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2016.30},
  URN =		{urn:nbn:de:0030-drops-70999},
  doi =		{10.4230/LIPIcs.OPODIS.2016.30},
  annote =	{Keywords: Byzantine fault tolerance, register emulation, multi-writer, key-value store, data-centric algorithms}
}
Document
Representing Temporal Patterns in Computer-Interpretable Clinical Guidelines

Authors: António Silva, Tiago Oliveira, Paulo Novais, and José Neves

Published in: OASIcs, Volume 49, 2015 Imperial College Computing Student Workshop (ICCSW 2015)


Abstract
Computer-Interpretable Guidelines (CIGs) as machine-readable versions of clinical protocols have to provide appropriate constructs for the representation of different aspects of medical knowledge, namely administrative information, workflows of procedures, clinical constraints and temporal constraints. This work focuses on the latter, by aiming to develop a comprehensive representation of temporal constraints for machine readable formats of clinical protocols and provide a proper execution engine that deals with different time patterns and constraints placed on them. A model for the representation of time is presented for the CompGuide ontology in Ontology Web language (OWL) along with a comparison with the available formalisms in this field.

Cite as

António Silva, Tiago Oliveira, Paulo Novais, and José Neves. Representing Temporal Patterns in Computer-Interpretable Clinical Guidelines. In 2015 Imperial College Computing Student Workshop (ICCSW 2015). Open Access Series in Informatics (OASIcs), Volume 49, pp. 62-69, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)


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@InProceedings{silva_et_al:OASIcs.ICCSW.2015.62,
  author =	{Silva, Ant\'{o}nio and Oliveira, Tiago and Novais, Paulo and Neves, Jos\'{e}},
  title =	{{Representing Temporal Patterns in Computer-Interpretable Clinical Guidelines}},
  booktitle =	{2015 Imperial College Computing Student Workshop (ICCSW 2015)},
  pages =	{62--69},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-000-2},
  ISSN =	{2190-6807},
  year =	{2015},
  volume =	{49},
  editor =	{Schulz, Claudia and Liew, Daniel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICCSW.2015.62},
  URN =		{urn:nbn:de:0030-drops-54827},
  doi =		{10.4230/OASIcs.ICCSW.2015.62},
  annote =	{Keywords: Computer-Interpretable Guidelines, Temporal Constraints, Clinical Decision Support, Ontologies}
}
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