11 citations · 22 across the 5 of their papers we have counts for
9 papers
Deep Learning Approach Protecting Privacy in Camera-Based Critical Applications
Gautham Ramajayam, Tao Sun, Chiu C. Tan +2
Many critical applications rely on cameras to capture video footage for analytical purposes. This has led to concerns about these cameras accidentally capturing more information th…
PFirewall: Semantics-Aware Customizable Data Flow Control for Smart Home Privacy Protection
Haotian Chi, Qiang Zeng, Xiaojiang Du +1
Internet of Things (IoT) platforms enable users to deploy home automation applications. Meanwhile, privacy issues arise as large amounts of sensitive device data flow out to IoT pl…
PFirewall: Semantics-Aware Customizable Data Flow Control for Home Automation Systems
Haotian Chi, Qiang Zeng, Xiaojiang Du +1
Emerging Internet of Thing (IoT) platforms provide a convenient solution for integrating heterogeneous IoT devices and deploying home automation applications. However, serious priv…
A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis
Kimberly Redmond, Lannan Luo, Qiang Zeng
Given a closed-source program, such as most of proprietary software and viruses, binary code analysis is indispensable for many tasks, such as code plagiarism detection and malware…
Code-less Patching for Heap Vulnerabilities Using Targeted Calling Context Encoding
Qiang Zeng, Golam Kayas, Emil Mohammed +3
Exploitation of heap vulnerabilities has been on the rise, leading to many devastating attacks. Conventional heap patch generation is a lengthy procedure, requiring intensive manua…
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples
Qiang Zeng, Jianhai Su, Chenglong Fu +2
Adversarial examples (AEs) are crafted by adding human-imperceptible perturbations to inputs such that a machine-learning based classifier incorrectly labels them. They have become…