Robust physical-world attacks on deep learning visual classification

K Eykholt, I Evtimov, E Fernandes… - Proceedings of the …, 2018 - openaccess.thecvf.com
Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to
adversarial examples, resulting from small-magnitude perturbations added to the input …
被引用次数：2482 相关文章
[PDF] researchgate.net

[PDF][PDF] Robust Physical-World Attacks on Deep Learning Visual Classification

K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati… - researchgate.net
Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to
adversarial examples, resulting from small-magnitude perturbations added to the input …
[PDF] uw.edu

[PDF][PDF] Robust Physical-World Attacks on Deep Learning Visual Classification

K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati… - techpolicylab.uw.edu
Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to
adversarial examples, resulting from small-magnitude perturbations added to the input …

Robust Physical-World Attacks on Deep Learning Visual Classification

K Eykholt, I Evtimov, E Fernandes, B Li… - 2018 IEEE/CVF …, 2018 - ieeexplore.ieee.org
Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to
adversarial examples, resulting from small-magnitude perturbations added to the input …
[PDF] github.io

[PDF][PDF] Robust Physical-World Attacks on Deep Learning Models

K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati… - hongyanz.github.io
PRESENTATION TITLE IN THIS SPACE HERE Page 1 Robust Physical-World Attacks on
Deep Learning Models Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati …

Robust Physical-World Attacks on Deep Learning Visual Classification

K Eykholt, I Evtimov, E Fernandes, B Li… - The IEEE Conference …, 2018 - par.nsf.gov
Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to
adversarial examples, resulting from small-magnitude perturbations added to the input …

Robust Physical-World Attacks on Deep Learning Models

K Eykholt, I Evtimov, E Fernandes, B Li… - arXiv preprint arXiv …, 2017 - arxiv.org
Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to
adversarial examples, resulting from small-magnitude perturbations added to the input …

[引用][C] Robust Physical-World Attacks on Deep Learning Visual Classification

K Eykholt, I Evtimov, E Fernandes, B Li… - 2018 IEEE/CVF …, 2018 - cir.nii.ac.jp
Robust Physical-World Attacks on Deep Learning Visual Classification | CiNii Research CiNii
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …

Robust Physical-World Attacks on Deep Learning Visual Classification

K Eykholt, I Evtimov, E Fernandes, B Li… - 31st Meeting of the …, 2018 - experts.illinois.edu
Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to
adversarial examples, resulting from small-magnitude perturbations added to the input …
[PDF] utdallas.edu

[PDF][PDF] Robust Physical-World Attacks on Deep Learning Visual Classification

K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati… - utdallas.edu
Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to
adversarial examples, resulting from small-magnitude perturbations added to the input …