50 citations · 105 across the 5 of their papers we have counts for
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cs.CR2019★ 24 cited
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking
Ziqi Yang, Hung Dang, Ee-Chien Chang
The rise of machine learning as a service and model sharing platforms has raised the need of traitor-tracing the models and proof of authorship. Watermarking technique is the main…
cs.CR2019★ 25 cited
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
Ziqi Yang, Ee-Chien Chang, Zhenkai Liang
The rise of deep learning technique has raised new privacy concerns about the training data and test data. In this work, we investigate the model inversion problem in the adversari…