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Guaranteeing the security of transactional systems is a crucial priority of all institutions that process transactions, in order to protect their businesses against cyberattacks and fraudulent attempts.
AdverTorch v0. 1: An adversarial robustness toolbox based on pytorch
Ding, G. W.; Wang, L.; and Jin, X. 2019 · 1902
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Imperceptible Adversarial Attacks on Tabular Data
Ballet, V.; Renard, X.; Aigrain, J.; Laugel, T.; Frossard, P.; and Detyniecki, M. 2019 · 1911
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Learning in the presence of concept drift and hidden contexts
Widmer, G.; and Kubat, M. 1996 · 1996
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PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards
Hashemi, M.; and Fathi, A. 2020 · 2008
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Data mining strategies for CRM negotiation prescription problems
Bella, A.; Ferri, C.; Hernández-Orallo, J.; and Ramírez-Quintana, M. J. 2010 · 2010
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Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Levy, E.; Mathov, Y.; Katzir, Z.; Shabtai, A.; and Elovici, Y. 2020 · 2010
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The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
Ngai, E. W.; Hu, Y.; Wong, Y. H.; Chen, Y.; and Sun, X. 2011 · 2011
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A hierarchical security architecture for cyber-physical systems
Zhu, Q.; Rieger, C.; and Başar, T. 2011 · 2011
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Intriguing properties of neural networks
Szegedy, C.; Zaremba, W.; Sutskever, I.; Bruna, J.; Erhan, D.; Goodfellow, I.; and Fergus, R. 2013 · 2013
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Explaining and harnessing adversarial examples
Goodfellow, I. J.; Shlens, J.; and Szegedy, C. 2014 · 2014
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Fraud detection system: A survey
Abdallah, A.; Maarof, M. A.; and Zainal, A. 2016 · 2016
Cited alongside, same era.
XGBoost: A Scalable Tree Boosting System
Chen, T.; and Guestrin, C. 2016 · 2016
Cited alongside, same era.
Transferability in machine learning: from phenomena to black-box attacks using adversarial samples
Papernot, N.; McDaniel, P.; and Goodfellow, I. 2016 · 2016
Cited alongside, same era.
The Limitations of Deep Learning in Adversarial Settings
Papernot, N.; McDaniel, P. D.; Jha, S.; Fredrikson, M.; Celik, Z. B.; and Swami, A. 2016b · 2016
Cited alongside, same era.
Towards Evaluating the Robustness of Neural Networks
Carlini, N.; and Wagner, D. A. 2017 · 2017
Cited alongside, same era.
ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Adversarial Attacks on Neural Network Policies
Huang, S. H.; Papernot, N.; Goodfellow, I. J.; Duan, Y.; and Abbeel, P. 2017 · 2017
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Foolbox: A python toolbox to benchmark the robustness of machine learning models
Rauber, J.; Brendel, W.; and Bethge, M. 2017 · 2017
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Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Brendel, W.; Rauber, J.; and Bethge, M. 2018 · 2018
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Scarff: a scalable framework for streaming credit card fraud detection with spark
Carcillo, F.; Dal Pozzolo, A.; Le Borgne, Y.-A.; Caelen, O.; Mazzer, Y.; and Bontempi, G. 2018 · 2018
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Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Carlini, N.; and Wagner, D. A. 2018 · 2018
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Chen, P.; Zhang, H.; Sharma, Y.; Yi, J.; and Hsieh, C. 2017 · 2017
Cited alongside, same era.
Credit card fraud detection: a realistic modeling and a novel learning strategy
Dal Pozzolo, A.; Boracchi, G.; Caelen, O.; Alippi, C.; and Bontempi, G. 2017 · 2017
Cited alongside, same era.
UCI Machine Learning Repository
Dua, D.; and Graff, C. 2017 · 2017
Cited alongside, same era.
On the (statistical) detection of adversarial examples
Grosse, K.; Manoharan, P.; Papernot, N.; Backes, M.; and McDaniel, P. 2017 · 2017
Cited alongside, same era.
Technical report on the cleverhans v2. 1.0 adversarial examples library
Papernot, N.; Faghri, F.; Carlini, N.; Goodfellow, I.; Feinman, R.; Kurakin, A.; Xie, C.; Sharma, Y.; Brown, T.; Roy, A.; et al. 2016a
Cited in the paper.
Towards Deep Learning Models Resistant to Adversarial Attacks
Madry, A.; Makelov, A.; Schmidt, L.; Tsipras, D.; and Vladu, A. 2018 · 2018
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Adversarial Robustness Toolbox v1. 0.0
Nicolae, M.-I.; Sinn, M.; Tran, M. N.; Buesser, B.; Rawat, A.; Wistuba, M.; Zantedeschi, V.; Baracaldo, N.; Chen, B.; Ludwig, H.; et al. 2018 · 2018
Later among the works it cites.
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Chen, J.; Jordan, M. I.; and Wainwright, M. J. 2020 · 2020
Later among the works it cites.
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
Cheng, M.; Yi, J.; Chen, P.; Zhang, H.; and Hsieh, C. 2020 · 2020
Later among the works it cites.