Adversary detection in neural networks via persistent homology

Da Dalt, Severino

Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/181290

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DC Field	Value	Language
dc.contributor.advisor	Belchí Guillamón, Francisco	-
dc.contributor.author	Da Dalt, Severino	-
dc.date.accessioned	2021-11-16T12:34:02Z	-
dc.date.available	2021-11-16T12:34:02Z	-
dc.date.issued	2021-01-24	-
dc.identifier.uri	http://hdl.handle.net/2445/181290	-
dc.description	Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Francisco Belchí Guillamón	ca
dc.description.abstract	[en] The main goal of this work is to present a recently-invented homology theory called persistent homology and its application on the detection of adversary examples of neural network presented in the paper [4].	ca
dc.format.extent	35 p.	-
dc.format.mimetype	application/pdf	-
dc.language.iso	eng	ca
dc.rights	cc-by-nc-nd (c) Severino Da Dalt, 2021	-
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.source	Treballs Finals de Grau (TFG) - Matemàtiques	-
dc.subject.classification	Homologia	ca
dc.subject.classification	Treballs de fi de grau	-
dc.subject.classification	Xarxes neuronals (Informàtica)	ca
dc.subject.classification	Aprenentatge automàtic	ca
dc.subject.classification	Topologia algebraica	ca
dc.subject.other	Homology	en
dc.subject.other	Bachelor's theses	-
dc.subject.other	Neural networks (Computer science)	en
dc.subject.other	Machine learning	en
dc.subject.other	Algebraic topology	en
dc.title	Adversary detection in neural networks via persistent homology	ca
dc.type	info:eu-repo/semantics/bachelorThesis	ca
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca
Appears in Collections:	Treballs Finals de Grau (TFG) - Matemàtiques

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