Who Cited It

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

2018 · IEEE Access · 2,090 citations · 0 from inside this corpus

Naveed Akhtar, Ajmal Mian

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.

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey (2018)Threat of Adversarial Attacks…Long Short-Term Memory (1997)Long Short-Term MemoryLearning representations by back-propagating errors (1986)Learning representations by b…Auto-Encoding Variational Bayes (2013)Auto-Encoding Variational Bay…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…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Mastering the game of Go without human knowledge (2017)Mastering the game of Go with…Explaining and Harnessing Adversarial Examples (2014)Explaining and Harnessing Adv…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…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…Differential Evolution: A Survey of the State-of-the-Art (2010)Differential Evolution: A Sur…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…On Assessing ML Model Robustness: A Methodological Framework (Academic Track) (2025)On Assessing ML Model Robustn…The Limitations of Deep Learning in Adversarial Settings (2016)The Limitations of Deep Learn…Practical Black-Box Attacks against Machine Learning (2017)Practical Black-Box Attacks a…Boosting Adversarial Attacks with Momentum (2018)Boosting Adversarial Attacks …Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised … (2018)Virtual Adversarial Training:…Universal Adversarial Perturbations (2017)Universal Adversarial Perturb…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Deep Speech 2: End-to-End Speech Recognition in English and Mandarin (2015)Deep Speech 2: End-to-End Spe…Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks (2018)Feature Squeezing: Detecting …Ensemble Adversarial Training: Attacks and Defenses (2017)Ensemble Adversarial Training…Adversarial Examples in the Physical World (2018)ZOO (2017)ZOOAsynchronous Methods for Deep Reinforcement Learning (2016)Asynchronous Methods for Deep…Accessorize to a Crime (2016)Accessorize to a CrimeTowards Deep Learning Models Resistant to Adversarial Attacks (2017)Towards Deep Learning Models …Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria… (2016)Transferability in Machine Le…
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Learning representations by back-propagating errors198631,688
Auto-Encoding Variational Bayes201315,583
Distilling the Knowledge in a Neural Network201514,099
Sequence to Sequence Learning with Neural Networks201413,351
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
Mastering the game of Go without human knowledge20179,313
Explaining and Harnessing Adversarial Examples20148,146
Learning Deep Architectures for AI20096,951
Intriguing properties of neural networks20135,739
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks20165,392
Differential Evolution: A Survey of the State-of-the-Art20105,295
Learning Deep Architectures for AI20095,077
On Assessing ML Model Robustness: A Methodological Framework (Academic Track)20254,755
The Limitations of Deep Learning in Adversarial Settings20163,980
Practical Black-Box Attacks against Machine Learning20173,540
Boosting Adversarial Attacks with Momentum20183,040
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised …20182,873
Universal Adversarial Perturbations20172,744
Deep learning applications and challenges in big data analytics20152,610
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin20152,181
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks20181,882
Ensemble Adversarial Training: Attacks and Defenses20171,861
Adversarial Examples in the Physical World20181,842
ZOO20171,779
Asynchronous Methods for Deep Reinforcement Learning20161,689
Accessorize to a Crime20161,596
Towards Deep Learning Models Resistant to Adversarial Attacks20171,536
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria…20161,416

Links

DOI · Open access copy · OpenAlex record

Topics

Adversarial Robustness in Machine LearningComputer Science
Physical Unclonable Functions (PUFs) and Hardware SecurityComputer Science
Advanced Malware Detection TechniquesComputer Science

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Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:51+00:00.

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