1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CR2026
Rotated Robustness: A Training-Free Defense against Bit-Flip Attacks on Large Language Models
Deng Liu, Song Chen
Bit-flip corruption of quantized weights poses a serious reliability threat to Large Language Models (LLMs), as even a small number of weight faults can trigger catastrophic model…
cs.AR2023
Bit-balance: Model-Hardware Co-design for Accelerating NNs by Exploiting Bit-level Sparsity
Wenhao Sun, Zhiwei Zou, Deng Liu +3
Bit-serial architectures can handle Neural Networks (NNs) with different weight precisions, achieving higher resource efficiency compared with bit-parallel architectures. Besides,…
cs.AR2022★ 1 cited
Sense: Model Hardware Co-design for Accelerating Sparse CNN on Systolic Array
Wenhao Sun, Deng Liu, Zhiwei Zou +3
Sparsity is an intrinsic property of convolutional neural network(CNN) and worth exploiting for CNN accelerators, but extra processing comes with hardware overhead, causing many ar…