Robustness Evaluator: Bilevel Optimization Generated Worst Noisy Perturbations Toward Gait-Based Identity Recognition System-Reference-Cited by-同舟云学术

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Robustness Evaluator: Bilevel Optimization Generated Worst Noisy Perturbations Toward Gait-Based Identity Recognition System

Published:2023-11-17 Issue: Volume: Page:8469-8474
ISSN:
Container-title:2023 China Automation Congress (CAC)
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Author:

Dong Jianmin¹,Peng Da-Tian²,Fang Kai³

Affiliation:

1. Zhejiang Lab,Department of Artificial Intelligence,Hangzhou,Zhejiang,China

2. School of Cybersecurity, Northwestern Polytechnical University,Xi'an,Shaanxi,China

3. School of Electrical&Information Engineering, Hubei University of Automotive Technology,Shiyan,Hubei,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10450778.pdf?arnumber=10450778

Reference13 articles.

1. Recognizing people from their movement.

2. Gait-based identification for elderly users in wearable healthcare systems

3. Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network

4. Spoof Attacks on Gait Authentication System

5. Smartphone-Based Gait Recognition: From Authentication to Imitation

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