Results 21 to 30 of about 353,439 (278)
Adversarial classification: An adversarial risk analysis approach [PDF]
International Journal of Approximate Reasoning, 2019 Published in the International Journal for Approximate ...
RNaveiro +3 more
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Adversarial Attacks on Adversarial Bandits
, 2023 Accepted by ICLR ...
Ma, Yuzhe, Zhou, Zhijin
openaire +2 more sources
Generative adversarial networks [PDF]
Communications of the ACM, 2020 Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of training examples and learn the probability distribution that generated them.
Goodfellow, Ian J. +7 more
openaire +2 more sources
Sistemas de manejo, preinstalación, instalación y resolución de audiencias en el Ecuador
Revista Científica Ciencia y Tecnología, 2019 Los modelos adversariales fueron instaurados en el Ecuador en todas sus materias. Un modelo de justicia basado en audiencias requiere a un Juez preparado no solo para conducir de forma adecuada una audiencia, sino también, una preparación para poder ...
Miguel Eduardo Costaín Vásquez +1 more
doaj +1 more source
Adversarial Training Against Location-Optimized Adversarial Patches [PDF]
, 2020 20 pages, 6 tables, 4 figures, 2 algorithms, European Conference on Computer Vision Workshops ...
Sukrut Rao, David Stutz, Bernt Schiele
openaire +4 more sources
Applied Sciences, 2023 While Machine Learning has become the holy grail of modern-day computing, it has many security flaws that have yet to be addressed and resolved. Adversarial attacks are one of these security flaws, in which an attacker appends noise to data samples that ...
Hiskias Dingeto, Juntae Kim
doaj +1 more source
Not all adversarial examples require a complex defense : identifying over-optimized adversarial examples with IQR-based logit thresholding [PDF]
, 2019 Detecting adversarial examples currently stands as one of the biggest challenges in the field of deep learning. Adversarial attacks, which produce adversarial examples, increase the prediction likelihood of a target class for a particular data point ...
De Neve, Wesley +2 more
core +2 more sources
Improving the Robustness of Neural Networks Using K-Support Norm Based Adversarial Training
IEEE Access, 2016 It is of significant importance for any classification and recognition system, which claims near or better than human performance to be immune to small perturbations in the dataset.
Sheikh Waqas Akhtar +6 more
doaj +1 more source
Dos Mil Tres Mil, 2017 El presente documento tiene como propósito efectuar una aproximación, desde el punto de vista jurisprudencial y legal, del desarrollo que ha tenido la prueba oficiosa en el sistema penal adversarial de tendencia acusatoria, implementado en Colombia con ...
Jimmy Patiño García +2 more
doaj +1 more source
Clustering Approach for Detecting Multiple Types of Adversarial Examples
Sensors, 2022 With intentional feature perturbations to a deep learning model, the adversary generates an adversarial example to deceive the deep learning model.
Seok-Hwan Choi +3 more
doaj +1 more source