8 citations · 19 across the 6 of their papers we have counts for
9 papers
CARTL: Cooperative Adversarially-Robust Transfer Learning
Dian Chen, Hongxin Hu, Qian Wang +4
Transfer learning eases the burden of training a well-performed model from scratch, especially when training data is scarce and computation power is limited. In deep learning, a ty…
Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications
Song Liao, Christin Wilson, Long Cheng +2
Voice Assistants (VA) such as Amazon Alexa and Google Assistant are quickly and seamlessly integrating into people's daily lives. The increased reliance on VA services raises priva…
Interpreting Deep Learning-Based Networking Systems
Zili Meng, Minhu Wang, Jiasong Bai +3
While many deep learning (DL)-based networking systems have demonstrated superior performance, the underlying Deep Neural Networks (DNNs) remain blackboxes and stay uninterpretable…
SvTPM: A Secure and Efficient vTPM in the Cloud
Juan Wang, Chengyang Fan, Jie Wang +5
Virtual Trusted Platform Modules (vTPMs) have been widely used in commercial cloud platforms (e.g. Google Cloud, VMware Cloud, and Microsoft Azure) to provide virtual root-of-trust…
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards
Mhafuzul Islam, Mahsrur Chowdhury, Hongda Li +1
Vision-based navigation of autonomous vehicles primarily depends on the Deep Neural Network (DNN) based systems in which the controller obtains input from sensors/detectors, such a…
PAM: When Overloaded, Push Your Neighbor Aside!
Zili Meng, Jun Bi, Chen Sun +3
Recently SmartNICs are widely used to accelerate service chains in NFV. However, when the SmartNIC is overloaded, casually migrating vNFs away from SmartNIC to CPU may lead to addi…