Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them.
Further, there have been concerns about the possibility of bias and discrimination in predictive applications.
In order to address these issues, we propose an...
Cognitive radio technology emerges as a promising solution for overcoming shortage and inefficient use of spectrum resources. In cognitive radio networks, secondary users, which are users equipped with cognitive radios, can opportunistically access spectrum assigned to primary users, the spectrum license holders. Although it improves spectrum utilization efficiency, this opportunistic...
Flexible Dual-TCP/UDP Streaming Protocol with Adaptive Bitstream Prioritization (FDSP with Adaptive-BP) is a new method for streaming H.264-encoded High-definition (HD) video over WLANs. Traditionally, video streaming is done either using Transmission Control Protocol (TCP) or User Datagram Protocol (UDP) protocol, resulting in either rebuffering or packet loss respectively. While FDSP-based...
This dissertation focuses on personal privacy in human-robot interaction, which we call "privacy-sensitive robotics." Our understanding of "privacy" is very broad, including not just information privacy but also physical, psychological, and social privacy. We begin by surveying the scholarly literature on privacy and talking about why it applies to interactions...