DAS-AST: Defending against model stealing attacks based on adaptive softmax transformation

J Chen, C Wu, S Shen, X Zhang, J Chen - Information Security and …, 2021 - Springer
Abstract Deep Neural Networks (DNNs) have been widely applied to diverse real life
applications and dominated in most cases. Considering the hardware consumption for DNN …
被引用次数：3 相关文章

DAS-AST: Defending Against Model Stealing Attacks Based on Adaptive Softmax Transformation

J Chen, C Wu, S Shen, X Zhang, J Chen - International Conference on …, 2020 - dl.acm.org
Abstract Deep Neural Networks (DNNs) have been widely applied to diverse real life
applications and dominated in most cases. Considering the hardware consumption for DNN …

DAS-AST: Defending Against Model Stealing Attacks Based on Adaptive Softmax Transformation

J Chen - Springer
Deep Neural Networks (DNNs) have been widely applied to diverse real life applications
and dominated in most cases. Considering the hardware consumption for DNN and large …

DAS-AST: Defending Against Model Stealing Attacks Based on Adaptive Softmax Transformation

J Chen - Information Security and Cryptology: 16th International …, 2021 - books.google.com
Deep Neural Networks (DNNs) have been widely applied to diverse real life applications
and dominated in most cases. Considering the hardware consumption for DNN and large …