Zhanyong Tang

TL;DR: It is shown that CrossSense boosts the accuracy of state-of-the-art WiFi sensing techniques from 20% to over 80% and 90% for gait identification and gesture recognition respectively, delivering consistently good performance - particularly when the problem size is significantly greater than that current approaches can effectively handle.

TL;DR: This paper presents a generic, yet effective text captcha solver based on the generative adversarial network and demonstrates that the attack is generally applicable and can bypass the advanced security features employed by most modern text captcha schemes.

TL;DR: A novel video-based attack to reconstruct Android lock patterns from video footage filmed using a mobile phone camera using a computer vision algorithm to track the fingertip movements to infer the pattern.

TL;DR: Funded leverages the advances in graph neural networks to develop a novel graph-based learning method to capture and reason about the program’s control, data, and call dependencies to identify software vulnerabilities at the function level from program source code.

TL;DR: FitLoc is proposed, a fine-grained and low cost DfL approach that can localize multiple targets over various areas, especially in the outdoor environment and similar furnitured indoor environment and greatly reduces the human effort cost.