Dnnguard: An elastic heterogeneous dnn accelerator architecture against adversarial attacks

X Wang, R Hou, B Zhao, F Yuan, J Zhang… - Proceedings of the …, 2020 - dl.acm.org
Recent studies show that Deep Neural Networks (DNN) are vulnerable to adversarial
samples that are generated by perturbing correctly classified inputs to cause the …
被引用次数：35 相关文章
[PDF] researchgate.net

[PDF][PDF] DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial Attacks

X Wang, R Hou, B Zhao, F Yuan, J Zhang, D Meng… - 2020 - researchgate.net
Recent studies show that Deep Neural Networks (DNN) are vulnerable to adversarial
samples that are generated by perturbing correctly classified inputs to cause the …
[PDF] archive.org

[PDF][PDF] DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial Attacks

X Wang, R Hou, B Zhao, F Yuan, J Zhang, D Meng… - 2020 - scholar.archive.org
Recent studies show that Deep Neural Networks (DNN) are vulnerable to adversarial
samples that are generated by perturbing correctly classified inputs to cause the …
[PDF] usc.edu

[PDF][PDF] DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial Attacks

X Wang, R Hou, B Zhao, F Yuan, J Zhang, D Meng… - 2020 - alchem.usc.edu
Recent studies show that Deep Neural Networks (DNN) are vulnerable to adversarial
samples that are generated by perturbing correctly classified inputs to cause the …