Who Cited It

ZOO

2017 · 1,779 citations · 3 from inside this corpus

Pin‐Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho‐Jui Hsieh

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.

ZOO (2017)ZOOAdam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Explaining and Harnessing Adversarial Examples (2014)Explaining and Harnessing Adv…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…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…Universal Adversarial Perturbations (2017)Universal Adversarial Perturb…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)Adversarial Examples in the P…Towards 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…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…
16 of 16 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Distilling the Knowledge in a Neural Network201514,099
Explaining and Harnessing Adversarial Examples20148,146
Intriguing properties of neural networks20135,739
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks20165,392
The Limitations of Deep Learning in Adversarial Settings20163,980
Practical Black-Box Attacks against Machine Learning20173,540
Universal Adversarial Perturbations20172,744
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks20181,882
Ensemble Adversarial Training: Attacks and Defenses20171,861
Adversarial Examples in the Physical World20181,842
Towards Deep Learning Models Resistant to Adversarial Attacks20171,536
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria…20161,416

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 · Open access copy · OpenAlex record

Topics

Adversarial Robustness in Machine LearningComputer Science
Rabies epidemiology and controlImmunology and Microbiology
Bacillus and Francisella bacterial researchBiochemistry, Genetics and Molecular Biology

Is this record sound?

complete

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

  • supports5 author record(s) attached.
  • supports47 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 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…