Who Cited It

Intriguing properties of neural networks

2013 · arXiv (Cornell University) · 5,739 citations · 21 from inside this corpus

Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus

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.

Intriguing properties of neural networks (2013)Intriguing properties of neur…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Explaining and Harnessing Adversarial Examples (2014)Explaining and Harnessing Adv…DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks (2016)DeepFool: A Simple and Accura…Advances and Open Problems in Federated Learning (2020)Advances and Open Problems in…The Limitations of Deep Learning in Adversarial Settings (2016)The Limitations of Deep Learn…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…A review of uncertainty quantification in deep learning: Techniques, applications and cha… (2021)A review of uncertainty quant…A survey on semi-supervised learning (2019)A survey on semi-supervised l…Robust Physical-World Attacks on Deep Learning Visual Classification (2018)Robust Physical-World Attacks…Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey (2018)Threat of Adversarial Attacks…Shortcut learning in deep neural networks (2020)Shortcut learning in deep neu…Deep Learning for Health Informatics (2016)Deep Learning for Health Info…Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks (2018)Feature Squeezing: Detecting …Adversarial Examples: Attacks and Defenses for Deep Learning (2019)Adversarial Examples: Attacks…ZOO (2017)ZOOExplaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021)Explaining Deep Neural Networ…Agnostic Learning with Unknown Utilities (2016)Agnostic Learning with Unknow…Explaining nonlinear classification decisions with deep Taylor decomposition (2016)Explaining nonlinear classifi…Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks (2019)Neural Cleanse: Identifying a…
23 of 23 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Efficient Estimation of Word Representations in Vector Space201311,714
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Explaining and Harnessing Adversarial Examples20148,146
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks20165,392
Advances and Open Problems in Federated Learning20205,383
The Limitations of Deep Learning in Adversarial Settings20163,980
Boosting Adversarial Attacks with Momentum20183,040
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised …20182,873
Universal Adversarial Perturbations20172,744
A review of uncertainty quantification in deep learning: Techniques, applications and cha…20212,644
A survey on semi-supervised learning20192,636
Robust Physical-World Attacks on Deep Learning Visual Classification20182,154
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey20182,090
Shortcut learning in deep neural networks20202,040
Deep Learning for Health Informatics20162,015
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks20181,882
Adversarial Examples: Attacks and Defenses for Deep Learning20191,786
ZOO20171,779
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications20211,424
Agnostic Learning with Unknown Utilities20161,416
Explaining nonlinear classification decisions with deep Taylor decomposition20161,413
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks20191,404

Links

DOI · Open access copy · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Adversarial Robustness in Machine LearningComputer Science
Anomaly Detection Techniques and ApplicationsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports7 author record(s) attached.
  • supports6 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…