49 citations · 91 across the 11 of their papers we have counts for
11 papers
AdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving
Yuting Wu, Dongfang Guo, Xiangzhong Luo +2
Camera-based object detectors are vulnerable to physical adversarial attacks designed to suppress detections. While adversarial training and input purification offer some protectio…
Asymmetry Vulnerability and Physical Attacks on Online Map Construction for Autonomous Driving
Yang Lou, Haibo Hu, Qun Song +5
High-definition maps provide precise environmental information essential for prediction and planning in autonomous driving systems. Due to the high cost of labeling and maintenance…
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving
Yang Lou, Yi Zhu, Qun Song +4
Trajectory prediction forecasts nearby agents' moves based on their historical trajectories. Accurate trajectory prediction is crucial for autonomous vehicles. Existing attacks com…
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
Yang Lou, Qun Song, Qian Xu +2
Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception. However, many existing fusion schemes do not consider the quality of e…
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference
Linshan Jiang, Qun Song, Rui Tan +1
Mobile cloud offloading is indispensable for inference tasks based on large-scale deep models. However, transmitting privacy-rich inference data to the cloud incurs concerns. This…
Indoor Smartphone SLAM with Learned Echoic Location Features
Wenjie Luo, Qun Song, Zhenyu Yan +2
Indoor self-localization is a highly demanded system function for smartphones. The current solutions based on inertial, radio frequency, and geomagnetic sensing may have degraded p…
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge
Qun Song, Zhenyu Yan, Wenjie Luo +1
Adversarial example attack endangers the mobile edge systems such as vehicles and drones that adopt deep neural networks for visual sensing. This paper presents {\em Sardino}, an a…
PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems
Wenjie Luo, Zhenyu Yan, Qun Song +1
Run-time domain shifts from training-phase domains are common in sensing systems designed with deep learning. The shifts can be caused by sensor characteristic variations and/or di…
Moving Target Defense for Deep Visual Sensing against Adversarial Examples
Qun Song, Zhenyu Yan, Rui Tan
Deep learning based visual sensing has achieved attractive accuracy but is shown vulnerable to adversarial example attacks. Specifically, once the attackers obtain the deep model,…
Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials
Zhenyu Yan, Qun Song, Rui Tan +2
This paper presents TouchAuth, a new touch-to-access device authentication approach using induced body electric potentials (iBEPs) caused by the indoor ambient electric field that…
Deep Room Recognition Using Inaudible Echos
Qun Song, Chaojie Gu, Rui Tan
Recent years have seen the increasing need of location awareness by mobile applications. This paper presents a room-level indoor localization approach based on the measured room's…