Who Cited It

Robust Physical-World Attacks on Deep Learning Visual Classification

2018 · 2,154 citations · 1 from inside this corpus

Kevin Eykholt, Ivan Evtimov low, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song

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.

Robust Physical-World Attacks on Deep Learning Visual Classification (2018)Robust Physical-World Attacks…Explaining and Harnessing Adversarial Examples (2014)Explaining and Harnessing Adv…Continuous control with deep reinforcement learning (2016)Continuous control with deep …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…Continuous control with deep reinforcement learning (2015)Continuous control with deep …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…Adversarial Examples in the Physical World (2018)Adversarial Examples in the P…Accessorize to a Crime (2016)Accessorize to a CrimeTransferability 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…
12 of 12 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
Explaining and Harnessing Adversarial Examples20148,146
Continuous control with deep reinforcement learning20166,783
Intriguing properties of neural networks20135,739
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks20165,392
Continuous control with deep reinforcement learning20155,370
The Limitations of Deep Learning in Adversarial Settings20163,980
Practical Black-Box Attacks against Machine Learning20173,540
Universal Adversarial Perturbations20172,744
Adversarial Examples in the Physical World20181,842
Accessorize to a Crime20161,596
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

Links

DOI · OpenAlex record

Topics

Adversarial Robustness in Machine LearningComputer Science
Integrated Circuits and Semiconductor Failure AnalysisEngineering
Bacillus and Francisella bacterial researchBiochemistry, Genetics and Molecular Biology

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complete

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  • supports9 author record(s) attached.
  • supports53 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 2026-09-04T03:58:50+00:00.

sha256 86a6d6715ff540a0…