Jiadong Lou
Ph.D. Candidate
Jiadong Lou is a Ph.D. candidate at the Department of Computing and Informatics, University of Delaware, Newark, DE, USA. His advisor is Dr. Xu Yuan. He received his B.S. degree from the School of Computer Science and Technology, Harbin Institute of Technology, in 2018. His research interests include Cybersecurity, Machine Learning, and networking.
Contacts
Department of Computer & Information Sciences
University of Delaware, Newark, DE 19716
Email: loujd@udel.edu
Tel: (337)-414-0845
My CV is here in PDF format
Awards
IEEE/IFIP DSN 2023, Best Paper Award
IEEE/IFIP DSN 2023, Distinguished Paper Award
IEEE INFOCOM 2020, Student Conference Award
Services
Journal Reviews
IEEE Transaction on Mobile Computing
IEEE Internet of Things Journal
IEEE Communications Letters
IEEE Transactions on Vehicular Technology
IEEE Transactions on Network Science and Engineering
Security and Communication Networks & Networks
Computers & Security
Teaching Assistant
2023 Summer Tutorial: Machine Learning: Applications and Practices, and Introduction to Meteorology
Programming Languages
Principle of Operating System Theory
Computer Communication & Networks
Publications
2023
Conference Publications
Jiadong Lou, Xu Yuan, and Ning Zhang, “Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems,” in Proc. of 53rd Anual IEEE/IFIP International Conference on Dependable Systems and Network (DSN), 2023.(Best Paper Award and Distinguished Paper Award)
Jiadong Lou, Xu Yuan, Miao Pan, Hao Wang, and Nian-Feng Tzeng, “Data Privacy Examination against Semi-Supervised Learning,” in Proc. of 18th ACM ASIA Conference on Computer and Communications Security (AsiaCCS), 2023.
Journal Publications
Jie Lian, Jiadong Lou, Li Chen, and Xu Yuan, “EchoSensor: Fine-Grained Ultrasonic Sensing for Smart Home Intrusion Detection,” accepted by Transactions on Sensor Networks, 2023.
Jie Lian, Xu Yuan, Jiadong Lou, Li Chen, Hao Wang, Nian-Feng Tzeng， “Room-Scale Location Trace Tracking via Continuous Acoustic Waves,” accepted by Transactions on Sensor Networks, 2023.
2022
Journal Publications
Jiadong Lou, Xu Yuan, Purushottam Sigdel, Xiaoqi Qin, Sastry Kompella, and Nian-Feng Tzeng, "Age of Information Optimization in Multi-Channel Based Multi-Hop Wireless Networks", in IEEE Transactions on Mobile Computing (TMC), 2022.
2021
Conference Publications
Jiadong Lou, Xu Yuan, and Ning Zhang, "Messy States of Wiring: Vulnerabilities in Emerging Personal Payment Systems", in Proc. of USENIX Security Symposium (USENIX Security), 2021.
Yihe Zhang, Xu Yuan, Jin Li, Jiadong Lou, Li Chen, and Nian-Feng Tzeng, "Reverse Attack: Black-box Attacks on Collaborative Recommendation," in Proc. of ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021.
Journal Publications
Jiadong Lou, Xu Yuan, Kompella Sastry, and Nian-Feng Tzeng, "Boosting or Hindering: AoI and Throughput Interrelation in Routing-aware Multi-hop Wireless Networks," in IEEE/ACM Transactions on Networking (ToN), 2021.
Jie Lian, Jiadong Lou, Li Chen, and Xu Yuan, "EchoSpot: Spotting Your Locations via Acoustic Sensing," in Proc. of ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (Ubicomp), 2021.
2020
Conference Publications
Jiadong Lou, Xu Yuan, and Nian-Feng Tzeng, "Instant AoI Optimization in IoT Networks with Packet Combination," in Proc. of IEEE International Conference on Sensing, Communication, and Networking (SECON), 2020.
Jiadong Lou, Xu Yuan, Sastry Kompella, and Nian-Feng Tzeng, "AoI and Throughput Tradeoff in Routing-aware Multi-hop Wireless Networks," in Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2020.
Yihe Zhang, Jiadong Lou, Li Chen, Xu Yuan, Jin Li, Tom Johnsten and Nian-Feng Tzeng, "Toward Poisoning Neural Collaborative filtering-based Recommender Systems," in Proc. of European Symposium on Research in Computer Security (ESORICS), 2020.