RAILS: A Robust Adversarial Immune-Inspired Learning System-Reference-Cited by-同舟云学术

RAILS: A Robust Adversarial Immune-Inspired Learning System

Author:

Wang Ren¹^ORCID,Chen Tianqi²^ORCID,Lindsly Stephen M.³,Stansbury Cooper M.³,Rehemtulla Alnawaz⁴^ORCID,Rajapakse Indika³,Hero Alfred O.¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA

2. Department of Statistics, University of Michigan, Ann Arbor, MI, USA

3. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA

4. Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA

Funder

United States Department of Defense, Defense Advanced Research Projects Agency

Army Research Office

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference50 articles.

4. ASK: Adversarial soft k-nearest neighbor attack and defense;wang;arXiv 2106 14300,2021

5. Decision-based adversarial attacks: Reliable attacks against black-box machine learning models;brendel;arXiv 1712 04248,2017

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