Substitute Model Generation for Black-Box Adversarial Attack Based on Knowledge Distillation-Reference-Cited by-同舟云学术

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Substitute Model Generation for Black-Box Adversarial Attack Based on Knowledge Distillation

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Image Processing (ICIP)
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Author:

Cui Weiyu,Li Xiaorui,Huang Jiawei,Wang Wenyi,Wang Shuai,Chen Jianwen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9184803/9190635/09191063.pdf?arnumber=9191063

Cited by 12 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. Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process;IEEE Open Journal of the Industrial Electronics Society;2024

2. Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

3. Finding Concrete Cracks in a Building using Improved Deep Learning Algorithms;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23

4. AKD: Using Adversarial Knowledge Distillation to Achieve Black-box Attacks;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

5. GAN-Based Siamese Neuron Network for Modulation Classification Against White-Box Adversarial Attacks;IEEE Transactions on Cognitive Communications and Networking;2023

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