Zelun Kong

Orcid: 0000-0002-8045-7494

According to our database1, Zelun Kong authored at least 12 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DNN Latency Sequencing: Extracting DNN Architectures from Intel SGX Enclaves with Single-Stepping Attacks.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025
TZ-DATASHIELD: Automated Data Protection for Embedded Systems via Data-Flow-Based Compartmentalization.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

IMUFuzzer: Resilience-based Discovery of Signal Injection Attacks on Robotic Aerial Vehicles.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

2021
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
LINTS^RT: A Learning-driven Testbed for Intelligent Scheduling in Embedded Systems.
CoRR, 2020

PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks.
CoRR, 2020

DeepBillboard: systematic physical-world testing of autonomous driving systems.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A General Analysis Framework for Soft Real-Time Tasks.
IEEE Trans. Parallel Distributed Syst., 2019

Generating Adversarial Fragments with Adversarial Networks for Physical-world Implementation.
CoRR, 2019

Metric Learning based Framework for Streaming Classification with Concept Evolution.
Proceedings of the International Joint Conference on Neural Networks, 2019

Robust High Dimensional Stream Classification with Novel Class Detection.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019


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