58 citations · 62 across the 4 of their papers we have counts for
6 papers
AccEar: Accelerometer Acoustic Eavesdropping with Unconstrained Vocabulary
Pengfei Hu, Hui Zhuang, Panneer Selvam Santhalingamy +4
With the increasing popularity of voice-based applications, acoustic eavesdropping has become a serious threat to users' privacy. While on smartphones the access to microphones nee…
Joint AP Probing and Scheduling: A Contextual Bandit Approach
Tianyi Xu, Ding Zhang, Parth H. Pathak +1
We consider a set of APs with unknown data rates that cooperatively serve a mobile client. The data rate of each link is i.i.d. sampled from a distribution that is unknown a priori…
Generative Multi-Stream Architecture For American Sign Language Recognition
Dom Huh, Sai Gurrapu, Frederick Olson +3
With advancements in deep model architectures, tasks in computer vision can reach optimal convergence provided proper data preprocessing and model parameter initialization. However…
FineHand: Learning Hand Shapes for American Sign Language Recognition
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak +2
American Sign Language recognition is a difficult gesture recognition problem, characterized by fast, highly articulate gestures. These are comprised of arm movements with differen…
Sign Language Recognition Analysis using Multimodal Data
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak +2
Voice-controlled personal and home assistants (such as the Amazon Echo and Apple Siri) are becoming increasingly popular for a variety of applications. However, the benefits of the…
FlowIntent: Detecting Privacy Leakage from User Intention to Network Traffic Mapping
Hao Fu, Zizhan Zheng, Aveek K. Das +3
The exponential growth of mobile devices has raised concerns about sensitive data leakage. In this paper, we make the first attempt to identify suspicious location-related HTTP tra…