Work

Security Threat to the Robustness of RRAM-based Neuromorphic Computing System

Year: 2022

Type: conference-paper

Source: IEEE International Symposium on Smart Electronic Systems (iSES)

DOI: 10.1109/ises54909.2022.00061

Authors: Bing Li, Hao Lv, Ying Wang, Yiran Chen

Institutions: Capital Normal University, University of Chinese Academy of Sciences, Duke University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G7247203588

OpenAlex ID: W4318969755

FWCI:

Cites: 27

Cited by: 1

Related to: 10