Who Cited It

Boosting Adversarial Attacks with Momentum

2018 · 3,040 citations · 3 from inside this corpus

Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo 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.

Boosting Adversarial Attacks with Momentum (2018)Boosting Adversarial Attacks …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…Intriguing properties of neural networks (2013)Intriguing properties of neur…Neural network ensembles (1990)Neural network ensemblesPractical Black-Box Attacks against Machine Learning (2017)Practical Black-Box Attacks a…On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…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…Neural Network Ensembles, Cross Validation, and Active Learning (1994)Neural Network Ensembles, Cro…Explainable AI: A Review of Machine Learning Interpretability Methods (2020)Explainable AI: A Review of M…Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey (2018)Threat of Adversarial Attacks…Adversarial Examples: Attacks and Defenses for Deep Learning (2019)Adversarial Examples: Attacks…
13 of 13 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
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning201712,734
Explaining and Harnessing Adversarial Examples20148,146
Intriguing properties of neural networks20135,739
Neural network ensembles19904,288
Practical Black-Box Attacks against Machine Learning20173,540
On the importance of initialization and momentum in deep learning20133,523
Universal Adversarial Perturbations20172,744
Ensemble Adversarial Training: Attacks and Defenses20171,861
Adversarial Examples in the Physical World20181,842
Neural Network Ensembles, Cross Validation, and Active Learning19941,803

What cites it, inside the corpus

PaperYearCited
Explainable AI: A Review of Machine Learning Interpretability Methods20202,907
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey20182,090
Adversarial Examples: Attacks and Defenses for Deep Learning20191,786

Links

DOI · OpenAlex record

Topics

Adversarial Robustness in Machine LearningComputer Science
Advanced Neural Network 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.
  • supports40 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…