Qun Song

Orcid: 0000-0002-3611-9404

Affiliations:
  • Delft University of Technology, The Netherlands
  • Nanyang Technological University, Singapore (PhD)


According to our database1, Qun Song authored at least 24 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Indoor Smartphone SLAM With Acoustic Echoes.
IEEE Trans. Mob. Comput., June, 2024

On Credibility of Adversarial Examples Against Learning-Based Grid Voltage Stability Assessment.
IEEE Trans. Dependable Secur. Comput., 2024

A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving.
Proceedings of the 33rd USENIX Security Symposium, 2024

SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Leveraging Foundation Models for Zero-Shot IoT Sensing.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Physics-directed Data Augmentation for Deep Model Transfer to Specific Sensor.
ACM Trans. Sens. Networks, February, 2023

Touch-to-Access Device Authentication For Indoor Smart Objects.
IEEE Trans. Mob. Comput., 2023

VI-Map: Infrastructure-Assisted Real-Time HD Mapping for Autonomous Driving.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Towards Efficient Personalized Driver Behavior Modeling with Machine Unlearning.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022
Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-Based Power System Stability Assessment Model Under Adversarial Examples.
IEEE Trans. Smart Grid, 2022

DeepMTD: Moving Target Defense for Deep Visual Sensing against Adversarial Examples.
ACM Trans. Sens. Networks, 2022

Indoor Smartphone SLAM with Learned Echoic Location Features.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Telesonar: Robocall Alarm System by Detecting Echo Channel and Breath Timing.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge.
Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks, 2022

2021
Infrastructure-Free Smartphone Indoor Localization Using Room Acoustic Responses.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems.
Proceedings of the IPSN '21: The 20th International Conference on Information Processing in Sensor Networks, 2021

Understanding Credibility of Adversarial Examples against Smart Grid: A Case Study for Voltage Stability Assessment.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2019
Moving Target Defense for Deep Visual Sensing against Adversarial Examples.
CoRR, 2019

Moving target defense for embedded deep visual sensing against adversarial examples.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

2018
Deep Room Recognition Using Inaudible Echos.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018


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