Who Cited It

Adversarial Examples: Attacks and Defenses for Deep Learning

2019 · IEEE Transactions on Neural Networks and Learning Systems · 1,786 citations · 2 from inside this corpus

Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Adversarial Examples: Attacks and Defenses for Deep Learning (2019)Adversarial Examples: Attacks…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (2017)Inception-v4, Inception-ResNe…Explaining and Harnessing Adversarial Examples (2014)Explaining and Harnessing Adv…SQuAD: 100,000+ Questions for Machine Comprehension of Text (2016)SQuAD: 100,000+ Questions for…Deep Learning with Differential Privacy (2016)Deep Learning with Differenti…Intriguing properties of neural networks (2013)Intriguing properties of neur…DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks (2016)DeepFool: A Simple and Accura…Membership Inference Attacks Against Machine Learning Models (2017)Membership Inference Attacks …The Limitations of Deep Learning in Adversarial Settings (2016)The Limitations of Deep Learn…Boosting Adversarial Attacks with Momentum (2018)Boosting Adversarial Attacks …Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (2015)Model Inversion Attacks that …Universal Adversarial Perturbations (2017)Universal Adversarial Perturb…Ensemble Adversarial Training: Attacks and Defenses (2017)Ensemble Adversarial Training…Adversarial Examples in the Physical World (2018)Adversarial Examples in the P…ZOO (2017)ZOOCan we open the black box of AI? (2016)Can we open the black box of …Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks (2017)Reluplex: An Efficient SMT So…Accessorize to a Crime (2016)Accessorize to a CrimeAdversarial Examples Are Not Easily Detected (2017)Adversarial Examples Are Not …Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria… (2016)Transferability in Machine Le…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence (2023)Interpreting Black-Box Models…
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What this paper cites, inside the corpus

PaperYearCited
Distilling the Knowledge in a Neural Network201514,099
Sequence to Sequence Learning with Neural Networks201413,351
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning201712,734
Explaining and Harnessing Adversarial Examples20148,146
SQuAD: 100,000+ Questions for Machine Comprehension of Text20166,435
Deep Learning with Differential Privacy20166,220
Intriguing properties of neural networks20135,739
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks20165,392
Membership Inference Attacks Against Machine Learning Models20174,490
The Limitations of Deep Learning in Adversarial Settings20163,980
Boosting Adversarial Attacks with Momentum20183,040
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures20152,885
Universal Adversarial Perturbations20172,744
Ensemble Adversarial Training: Attacks and Defenses20171,861
Adversarial Examples in the Physical World20181,842
ZOO20171,779
Can we open the black box of AI?20161,751
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks20171,709
Accessorize to a Crime20161,596
Adversarial Examples Are Not Easily Detected20171,428
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria…20161,416

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence20231,981

Links

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Topics

Adversarial Robustness in Machine LearningComputer Science
Integrated Circuits and Semiconductor Failure AnalysisEngineering

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complete

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  • supports4 author record(s) attached.
  • supports200 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:53+00:00.

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