Generating Robust DNN With Resistance to Bit-Flip Based Adversarial Weight Attack-Reference-Cited by-同舟云学术

Generating Robust DNN With Resistance to Bit-Flip Based Adversarial Weight Attack

Author:

Liu Liang¹^ORCID,Guo Yanan¹,Cheng Yueqiang²^ORCID,Zhang Youtao³^ORCID,Yang Jun¹

Affiliation:

1. Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA

2. Security Research Department, NIO Company, Shanghai, China

3. Department of Computer science, University of Pittsburgh, Pittsburgh, PA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

Reference45 articles.

1. Transfer learning from pre-trained models;marcelino;Towards Data Science,2018

2. Security analysis of deep neural networks operating in the presence of cache side-channel attacks;hong,2018

4. Hardware trojan attacks on neural networks;clements,2018

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