Querying Little Is Enough: Model Inversion Attack via Latent Information-Reference-Cited by-同舟云学术

Querying Little Is Enough: Model Inversion Attack via Latent Information

Published:2020 Issue: Volume: Page:583-591
ISSN:0302-9743
Container-title:Machine Learning for Cyber Security
language:
Short-container-title:

Author:

Mo Kanghua,Huang Teng,Xiang Xiaoyu

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-62460-6_52

Reference23 articles.

1. Amazon: Machine learning at aws. https://aws.amazon.com/machine-learning/

2. apple: Arfaceanchor.blendshapelocation. https://developer.apple.com/

3. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), vol. 1, pp. 886–893. IEEE (2005)

4. Dosovitskiy, A., Brox, T.: Inverting visual representations with convolutional networks. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4829–4837 (2016)

5. Fredrikson, M., Jha, S., Ristenpart, T.: Model inversion attacks that exploit confidence information and basic countermeasures. In: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, pp. 1322–1333 (2015)

Cited by 15 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. SnapshotPrune: A Novel Bitcoin-Based Protocol Toward Efficient Pruning and Fast Node Bootstrapping;Tsinghua Science and Technology;2024-08

2. Model architecture level privacy leakage in neural networks;Science China Information Sciences;2023-10-17

3. Mitigate Gender Bias Using Negative Multi-task Learning;Neural Processing Letters;2023-07-28

4. Beyond model splitting: Preventing label inference attacks in vertical federated learning with dispersed training;World Wide Web;2023-05-08

5. Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning;Artificial Neural Networks and Machine Learning – ICANN 2023;2023