Training A Secure Model Against Data-Free Model Extraction.
Proceedings of the Computer Vision - ECCV 2024, 2024
Efficient Performance Prediction of End-to-End Autonomous Driving Under Continuous Distribution Shifts Based on Anomaly Detection.
J. Signal Process. Syst., December, 2023
Timing Performance Benchmarking of Out-of-Distribution Detection Algorithms.
J. Signal Process. Syst., December, 2023
Towards safe and efficient application of deep neural networks in resource-constrained real-time embedded systems
PhD thesis, 2023
LRP-based network pruning and policy distillation of robust and non-robust DRL agents for embedded systems.
Concurr. Comput. Pract. Exp., 2023
CAN Bus Intrusion Detection Based on Auxiliary Classifier GAN and Out-of-distribution Detection.
ACM Trans. Embed. Comput. Syst., 2022
LRP-based Policy Pruning and Distillation of Reinforcement Learning Agents for Embedded Systems.
Proceedings of the 25th IEEE International Symposium On Real-Time Distributed Computing, 2022
Out-of-Distribution Detection for Deep Neural Networks With Isolation Forest and Local Outlier Factor.
IEEE Access, 2021