Research graph
References from White-Box and Transfer-Based Black-Box Adversarial Attacks on Neural Network Models for Credit Card Fraud Detection. Local targets link to admitted publications; unresolved targets remain external evidence.
Using generative adversarial networks for improving classification effectiveness in credit card fraud detection
10.1016/j.ins.2017.12.030 · 2019 · External reference
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10.2139/ssrn.5192172
10.2139/ssrn.5192172 · External reference
10.3390/electronics14234563
10.3390/electronics14234563 · External reference
10.3390/electronics14244853
10.3390/electronics14244853 · External reference
10.3390/electronics14224422
10.3390/electronics14224422 · External reference
Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey
10.1109/comst.2023.3319492 · 2023 · External reference
10.1109/sp.2017.49
10.1109/sp.2017.49 · External reference
Fast propagation is better: Accelerating single-step adversarial training via sampling subnetworks
10.1109/tifs.2024.3377004 · 2024 · External reference
Dynamic Programming-Based White Box Adversarial Attack for Deep Neural Networks
10.3390/ai5030059 · 2024 · External reference
10.20944/preprints202510.1706.v1
10.20944/preprints202510.1706.v1 · External reference
Adversarial deep learning: A survey on adversarial attacks and defense mechanisms on image classification
10.1109/access.2022.3208131 · 2022 · External reference
Adversarial robustness of vision transformers versus convolutional neural networks
10.1109/access.2024.3435347 · 2024 · External reference
10.3390/electronics14224384
10.3390/electronics14224384 · External reference
10.3390/electronics14214236
10.3390/electronics14214236 · External reference
10.3390/electronics14234706
10.3390/electronics14234706 · External reference
10.3390/electronics15071411
10.3390/electronics15071411 · External reference
Evasion attack and defense on machine learning models in cyber-physical systems: A survey
2022 · External reference
Adversarial Machine Learning in IoT Security: A Comprehensive Survey
2026 · External reference
Toward federated learning models resistant to adversarial attacks
10.1109/jiot.2023.3272334 · 2023 · External reference
Adversarial attacks and defenses in 6G network-assisted IoT systems
10.1109/jiot.2024.3373808 · 2024 · External reference
10.3390/make7040112
10.3390/make7040112 · External reference
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Learned lessons in credit card fraud detection from a practitioner perspective
10.1016/j.eswa.2014.02.026 · 2014 · External reference
10.3390/fi17100459
10.3390/fi17100459 · External reference
TabAttackBench: A benchmark for adversarial attacks on tabular data
10.1016/j.eswa.2025.130491 · 2026 · External reference
10.1007/978-3-030-16841-4
10.1007/978-3-030-16841-4 · External reference
Combining unsupervised and supervised learning in credit card fraud detection
10.1016/j.ins.2019.05.042 · 2021 · External reference
SCARFF: A scalable framework for streaming credit card fraud detection with Spark
10.1016/j.inffus.2017.09.005 · 2018 · External reference
An experimental study with imbalanced classification approaches for credit card fraud detection
10.1109/access.2019.2927266 · 2019 · External reference
A neural network ensemble with feature engineering for improved credit card fraud detection
10.1109/access.2022.3148298 · 2022 · External reference
Deep learning for credit card fraud detection: A review of algorithms, challenges, and solutions
10.1109/access.2024.3426955 · 2024 · External reference
Enhancing fraud detection in banking with deep learning: Graph neural networks and autoencoders for real-time credit card fraud prevention
10.1109/access.2024.3466288 · 2025 · External reference
Credit card fraud detection using hidden Markov model
10.1109/tdsc.2007.70228 · 2008 · External reference
Credit card fraud detection: A realistic modeling and a novel learning strategy
10.1109/tnnls.2017.2736643 · 2018 · External reference
10.3390/math13050819
10.3390/math13050819 · External reference
10.1109/icws67624.2025.00043
10.1109/icws67624.2025.00043 · External reference
10.1145/3490354.3494367
10.1145/3490354.3494367 · External reference
BlackboxBench: A Comprehensive Benchmark of Black-Box Adversarial Attacks
10.1109/tpami.2025.3574432 · 2025 · External reference
Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior
10.1109/tpami.2021.3126733 · 2022 · External reference
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10.1109/cvpr52734.2025.01368
10.1109/cvpr52734.2025.01368 · External reference
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A vector space model for automatic indexing
10.1145/361219.361220 · 1975 · External reference
10.1007/978-0-387-84858-7
10.1007/978-0-387-84858-7 · External reference
Picture thresholding using an iterative selection method
10.1109/tsmc.1978.4310039 · 1978 · External reference
10.1007/978-0-387-84858-7
10.1007/978-0-387-84858-7 · ExternalCitation · doi-reference
10.1007/978-3-030-16841-4
10.1007/978-3-030-16841-4 · ExternalCitation · doi-reference
Learned lessons in credit card fraud detection from a practitioner perspective
10.1016/j.eswa.2014.02.026 · ExternalCitation · doi-reference
TabAttackBench: A benchmark for adversarial attacks on tabular data
10.1016/j.eswa.2025.130491 · ExternalCitation · doi-reference
SCARFF: A scalable framework for streaming credit card fraud detection with Spark
10.1016/j.inffus.2017.09.005 · ExternalCitation · doi-reference
Using generative adversarial networks for improving classification effectiveness in credit card fraud detection
10.1016/j.ins.2017.12.030 · ExternalCitation · doi-reference
Combining unsupervised and supervised learning in credit card fraud detection
10.1016/j.ins.2019.05.042 · ExternalCitation · doi-reference
An experimental study with imbalanced classification approaches for credit card fraud detection
10.1109/access.2019.2927266 · ExternalCitation · doi-reference
A neural network ensemble with feature engineering for improved credit card fraud detection
10.1109/access.2022.3148298 · ExternalCitation · doi-reference
Adversarial deep learning: A survey on adversarial attacks and defense mechanisms on image classification
10.1109/access.2022.3208131 · ExternalCitation · doi-reference
Deep learning for credit card fraud detection: A review of algorithms, challenges, and solutions
10.1109/access.2024.3426955 · ExternalCitation · doi-reference
Adversarial robustness of vision transformers versus convolutional neural networks
10.1109/access.2024.3435347 · ExternalCitation · doi-reference
Enhancing fraud detection in banking with deep learning: Graph neural networks and autoencoders for real-time credit card fraud prevention
10.1109/access.2024.3466288 · ExternalCitation · doi-reference
Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey
10.1109/comst.2023.3319492 · ExternalCitation · doi-reference
10.1109/cvpr52734.2025.01368
10.1109/cvpr52734.2025.01368 · ExternalCitation · doi-reference
10.1109/icws67624.2025.00043
10.1109/icws67624.2025.00043 · ExternalCitation · doi-reference
Toward federated learning models resistant to adversarial attacks
10.1109/jiot.2023.3272334 · ExternalCitation · doi-reference
Adversarial attacks and defenses in 6G network-assisted IoT systems
10.1109/jiot.2024.3373808 · ExternalCitation · doi-reference
10.1109/sp.2017.49
10.1109/sp.2017.49 · ExternalCitation · doi-reference
Credit card fraud detection using hidden Markov model
10.1109/tdsc.2007.70228 · ExternalCitation · doi-reference
Fast propagation is better: Accelerating single-step adversarial training via sampling subnetworks
10.1109/tifs.2024.3377004 · ExternalCitation · doi-reference
Credit card fraud detection: A realistic modeling and a novel learning strategy
10.1109/tnnls.2017.2736643 · ExternalCitation · doi-reference
Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior
10.1109/tpami.2021.3126733 · ExternalCitation · doi-reference
BlackboxBench: A Comprehensive Benchmark of Black-Box Adversarial Attacks
10.1109/tpami.2025.3574432 · ExternalCitation · doi-reference
Picture thresholding using an iterative selection method
10.1109/tsmc.1978.4310039 · ExternalCitation · doi-reference
10.1145/3490354.3494367
10.1145/3490354.3494367 · ExternalCitation · doi-reference
A vector space model for automatic indexing
10.1145/361219.361220 · ExternalCitation · doi-reference
10.20944/preprints202510.1706.v1
10.20944/preprints202510.1706.v1 · ExternalCitation · doi-reference
10.2139/ssrn.5192172
10.2139/ssrn.5192172 · ExternalCitation · doi-reference
Dynamic Programming-Based White Box Adversarial Attack for Deep Neural Networks
10.3390/ai5030059 · ExternalCitation · doi-reference
10.3390/electronics14214236
10.3390/electronics14214236 · ExternalCitation · doi-reference
10.3390/electronics14224384
10.3390/electronics14224384 · ExternalCitation · doi-reference
10.3390/electronics14224422
10.3390/electronics14224422 · ExternalCitation · doi-reference
10.3390/electronics14234563
10.3390/electronics14234563 · ExternalCitation · doi-reference
10.3390/electronics14234706
10.3390/electronics14234706 · ExternalCitation · doi-reference
10.3390/electronics14244853
10.3390/electronics14244853 · ExternalCitation · doi-reference
10.3390/electronics15071411
10.3390/electronics15071411 · ExternalCitation · doi-reference
10.3390/fi17100459
10.3390/fi17100459 · ExternalCitation · doi-reference
10.3390/make7040112
10.3390/make7040112 · ExternalCitation · doi-reference
10.3390/math13050819
10.3390/math13050819 · ExternalCitation · doi-reference
