Who Cited It

Ensemble Adversarial Training: Attacks and Defenses

2017 · arXiv (Cornell University) · 1,861 citations · 6 from inside this corpus

Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel

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.

Ensemble Adversarial Training: Attacks and Defenses (2017)Ensemble Adversarial Training…Advances and Open Problems in Federated Learning (2020)Advances and Open Problems in…Boosting Adversarial Attacks with Momentum (2018)Boosting Adversarial Attacks …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…ZOO (2017)ZOOA survey on security and privacy of federated learning (2020)A survey on security and priv…
6 of 6 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 cites it, inside the corpus

PaperYearCited
Advances and Open Problems in Federated Learning20205,383
Boosting Adversarial Attacks with Momentum20183,040
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey20182,090
Adversarial Examples: Attacks and Defenses for Deep Learning20191,786
ZOO20171,779
A survey on security and privacy of federated learning20201,393

Links

Open access copy · OpenAlex record

Topics

Adversarial Robustness in Machine LearningComputer Science
COVID-19 diagnosis using AIMedicine
Anomaly Detection Techniques and ApplicationsComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports5 author record(s) attached.
  • weakensNo references are recorded despite 1,861 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:52+00:00.

sha256 930f5bc64fea8a60…