Query-Efficient Black-Box Attack by Active Learning-Reference-Cited by-同舟云学术

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Query-Efficient Black-Box Attack by Active Learning

Published:2018-11 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Data Mining (ICDM)
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Author:

Pengcheng Li,Yi Jinfeng,Zhang Lijun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8591042/8594809/08594968.pdf?arnumber=8594968

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explanation-Guided Adversarial Example Attacks;Big Data Research;2024-05

2. RobEns: Robust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic;Sensors;2024-04-19

3. SoK: Pitfalls in Evaluating Black-Box Attacks;2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML);2024-04-09

4. GCSA: A New Adversarial Example-Generating Scheme Toward Black-Box Adversarial Attacks;IEEE Transactions on Consumer Electronics;2024-02

5. Automatic Evasion of Machine Learning-Based Network Intrusion Detection Systems;IEEE Transactions on Dependable and Secure Computing;2024-01

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