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Security Evaluation of Pattern Classifiers under Attack

IEEE transactions on knowledge and data engineering, 2014-04, Vol.26 (4), p.984-996

2014

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On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method

IEEE transactions on pattern analysis and machine intelligence, 2015-07, Vol.37 (7), p.1521-1528

2015

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Wild patterns: Ten years after the rise of adversarial machine learning

Pattern recognition, 2018-12, Vol.84, p.317-331

2018

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Deep neural rejection against adversarial examples

EURASIP Journal on Information Security, 2020-04, Vol.2020 (1), p.1-10, Article 5

2020

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Multiple Classifier Systems: Second International Workshop, MCS 2001, Cambridge, UK, July 2-4, 2001 : Proceedings

1, 2001

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Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks

Multiple Classifier Systems, 2011, p.350-359

2011

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Multiple Classifier Systems: 4th International Workshop, MCS 2003 Guildford, UK, June 11–13, 2003 Proceedings

2003

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Multiple Classifier Systems: First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings

1, 2000

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Multiple Classifier Systems: Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002. Proceedings

1, 2002

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A Theoretical Analysis of Bagging as a Linear Combination of Classifiers

IEEE transactions on pattern analysis and machine intelligence, 2008-07, Vol.30 (7), p.1293-1299

2008

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Multiple Classifier Systems: 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings

1, 2004

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Intrusion detection in computer networks by a modular ensemble of one-class classifiers

Information fusion, 2008, Vol.9 (1), p.69-82

2008

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Design of effective neural network ensembles for image classification purposes

Image and vision computing, 2001-08, Vol.19 (9), p.699-707

2001

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EEG personal recognition based on ‘qualified majority’ over signal patches

IET biometrics, 2022-01, Vol.11 (1), p.63-78

2022

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DeltaPhish: Detecting Phishing Webpages in Compromised Websites

Computer Security - ESORICS 2017, 2017, Vol.10492, p.370-388

2017

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Empirical assessment of generating adversarial configurations for software product lines

Empirical software engineering : an international journal, 2021, Vol.26 (1), p.1-57, Article 6

2021

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Analysis of Score-Level Fusion Rules for Deepfake Detection

Applied sciences, 2022-08, Vol.12 (15), p.7365

2022

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Multi-stage ranking approach for fast person re-identification

IET computer vision, 2018-06, Vol.12 (4), p.513-519

2018

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Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues

Information sciences, 2013-08, Vol.239, p.201-225

2013

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Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware

IEEE transactions on information forensics and security, 2021, Vol.16, p.3469-3478

2021

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Designing multi-label classifiers that maximize F measures: State of the art

Pattern recognition, 2017-01, Vol.61, p.394-404

2017

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Dropout injection at test time for post hoc uncertainty quantification in neural networks

Information sciences, 2023-10, Vol.645, p.119356, Article 119356

2023

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Multiple Classifier Systems: 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings

1, 2011

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Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings

2015, 2015

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Analysis of Fingerprint Pores for Vitality Detection

2010 20th International Conference on Pattern Recognition, 2010, p.1289-1292

2010

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Security Evaluation of Pattern Classifiers under Attack

On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method

Wild patterns: Ten years after the rise of adversarial machine learning

Deep neural rejection against adversarial examples

Multiple Classifier Systems: Second International Workshop, MCS 2001, Cambridge, UK, July 2-4, 2001 : Proceedings

Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks

Multiple Classifier Systems: 4th International Workshop, MCS 2003 Guildford, UK, June 11–13, 2003 Proceedings

Multiple Classifier Systems: First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings

Multiple Classifier Systems: Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002. Proceedings

A Theoretical Analysis of Bagging as a Linear Combination of Classifiers

Multiple Classifier Systems: 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings

Intrusion detection in computer networks by a modular ensemble of one-class classifiers

Design of effective neural network ensembles for image classification purposes

EEG personal recognition based on ‘qualified majority’ over signal patches

DeltaPhish: Detecting Phishing Webpages in Compromised Websites

Empirical assessment of generating adversarial configurations for software product lines

Analysis of Score-Level Fusion Rules for Deepfake Detection

Multi-stage ranking approach for fast person re-identification

Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues

Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware

Designing multi-label classifiers that maximize F measures: State of the art

Dropout injection at test time for post hoc uncertainty quantification in neural networks

Multiple Classifier Systems: 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings

Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings

Analysis of Fingerprint Pores for Vitality Detection

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