Erh-Chung Chen

According to our database, Erh-Chung Chen authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness.

Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2024

Data filtering for efficient adversarial training.

Erh-Chung Chen, Che-Rung Lee

Pattern Recognit., 2024

Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks.

Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee

CoRR, 2024

Overload: Latency Attacks on Object Detection for Edge Devices.

Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Latency Attack Resilience in Object Detectors: Insights from Computing Architecture.

Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee

Proceedings of the Computer Vision - ACCV 2024, 2024

2021

LTD: Low Temperature Distillation for Robust Adversarial Training.

Erh-Chung Chen, Che-Rung Lee

CoRR, 2021

FOCM: Faster Octave Convolution Using Mix-scaling.

Kuan-Hsian Hsieh, Erh-Chung Chen, Che-Rung Lee

Proceedings of the 2021 International Conference on Technologies and Applications of Artificial Intelligence, 2021

2020

Towards Fast and Robust Adversarial Training for Image Classification.

Erh-Chung Chen, Che-Rung Lee

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020