11 citations · 22 across the 6 of their papers we have counts for
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cs.CV2023★ 1 cited
Overload: Latency Attacks on Object Detection for Edge Devices
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung +1
Nowadays, the deployment of deep learning-based applications is an essential task owing to the increasing demands on intelligent services. In this paper, we investigate latency att…
cs.CV2021★ 3 cited
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization
Bo-Shiuan Chu, Che-Rung Lee
Tensor decomposition is one of the fundamental technique for model compression of deep convolution neural networks owing to its ability to reveal the latent relations among complex…
cs.CV2021★ 11 cited
LTD: Low Temperature Distillation for Gradient Masking-free Adversarial Training
Erh-Chung Chen, Che-Rung Lee
Adversarial training is a widely adopted strategy to bolster the robustness of neural network models against adversarial attacks. This paper revisits the fundamental assumptions un…