# name
Adversary detection in neural networks via persistent homology

# metadata.dc.description[].value
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Francisco Belchí Guillamón

# metadata.dc.description.abstract[].value
[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].

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Matemàtiques

# metadata.dc.title[].value
Adversary detection in neural networks via persistent homology