LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data

no code implementations • 6 Apr 2020 • Madhumitha Harishankar, Jun Han, Sai Vineeth Kalluru Srinivas, Faisal Alqarni, Shi Su, Shijia Pan, Hae Young Noh, Pei Zhang, Marco Gruteser, Patrick Tague

and yields 100% lane classification accuracy with 200 meters of driving data, achieving over 90% with just 100 m (correspondingly to roughly one minute of driving).

Classification General Classification

Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase

no code implementations • 7 Dec 2018 • Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian

We present a practical method for protecting data during the inference phase of deep learning based on bipartite topology threat modeling and an interactive adversarial deep network construction.

BIG-bench Machine Learning Face Identification +1

Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be

no code implementations • 28 Mar 2017 • Nan Zhang, Soteris Demetriou, Xianghang Mi, Wenrui Diao, Kan Yuan, Peiyuan Zong, Feng Qian, Xiao-Feng Wang, Kai Chen, Yuan Tian, Carl A. Gunter, Kehuan Zhang, Patrick Tague, Yue-Hsun Lin

We systemize this process, by proposing a taxonomy for the IoT ecosystem and organizing IoT security into five problem areas.

Cryptography and Security