3 citations · 5 across the 3 of their papers we have counts for
5 papers
Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support
Guangyuan Hu, Zecheng He, Ruby B. Lee
Impostors are attackers who take over a smartphone and gain access to the legitimate user's confidential and private information. This paper proposes a defense-in-depth mechanism t…
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
Zecheng He, Srinivas Sunkara, Xiaoxue Zang +7
As mobile devices are becoming ubiquitous, regularly interacting with a variety of user interfaces (UIs) is a common aspect of daily life for many people. To improve the accessibil…
New Models for Understanding and Reasoning about Speculative Execution Attacks
Zecheng He, Guangyuan Hu, Ruby Lee
Spectre and Meltdown attacks and their variants exploit hardware performance optimization features to cause security breaches. Secret information is accessed and leaked through cov…
Smartphone Impostor Detection with Built-in Sensors and Deep Learning
Guangyuan Hu, Zecheng He, Ruby Lee
In this paper, we show that sensor-based impostor detection with deep learning can achieve excellent impostor detection accuracy at lower hardware cost compared to past work on sen…
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning
Zecheng He, Aswin Raghavan, Guangyuan Hu +2
Controllers of security-critical cyber-physical systems, like the power grid, are a very important class of computer systems. Attacks against the control code of a power-grid syste…