Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features-Reference-Cited by-同舟云学术

Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features

Published:2020-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security
language:
Short-container-title:

Author:

Lin Junyu¹,Xu Lei¹,Liu Yingqi²,Zhang Xiangyu²

Affiliation:

1. Nanjing University, Nanjing, China

2. Purdue University, West Lafayette, IN, USA

Funder

IARPA TrojAI

NSFC

NSF

ONR

Sandia National Lab

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3372297.3423362

Reference58 articles.

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2. 2020. Artificial Brain Stimulation. https://github.com/naiyeleo/ABS 2020. Artificial Brain Stimulation. https://github.com/naiyeleo/ABS

3. 2020. BigML. https://bigml.com 2020. BigML. https://bigml.com

4. 2020. Caffe Model Zoo. https://github.com/BVLC/caffe/wiki/Model-Zoo 2020. Caffe Model Zoo. https://github.com/BVLC/caffe/wiki/Model-Zoo

5. 2020. Composite Attack. https://github.com/TemporaryAcc0unt/compositeattack 2020. Composite Attack. https://github.com/TemporaryAcc0unt/compositeattack

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