46 citations · 52 across the 4 of their papers we have counts for
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cs.CV2022★ 4 cited
PD-Quant: Post-Training Quantization based on Prediction Difference Metric
Jiawei Liu, Lin Niu, Zhihang Yuan +3
Post-training quantization (PTQ) is a neural network compression technique that converts a full-precision model into a quantized model using lower-precision data types. Although it…
cs.CV2021★ 1 cited
Enhanced countering adversarial attacks via input denoising and feature restoring
Yanni Li, Wenhui Zhang, Jiawei Liu +3
Despite the fact that deep neural networks (DNNs) have achieved prominent performance in various applications, it is well known that DNNs are vulnerable to adversarial examples/sam…