19 citations · 35 across the 16 of their papers we have counts for
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cs.NE2021
Training Quantized Deep Neural Networks via Cooperative Coevolution
Fu Peng, Shengcai Liu, Ning Lu +1
This work considers a challenging Deep Neural Network(DNN) quantization task that seeks to train quantized DNNs without involving any full-precision operations. Most previous quant…
cs.CL2021★ 5 cited
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization
Shengcai Liu, Ning Lu, Wenjing Hong +2
The field of adversarial textual attack has significantly grown over the last few years, where the commonly considered objective is to craft adversarial examples (AEs) that can suc…
cs.CL2021★ 5 cited
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack
Shengcai Liu, Ning Lu, Cheng Chen +1
Over the past few years, various word-level textual attack approaches have been proposed to reveal the vulnerability of deep neural networks used in natural language processing. Ty…