4 citations · 4 across the 3 of their papers we have counts for
4 papers
Hardware-Rooted PUF Fingerprinting for Device-Level Traceability in Knowledge Distillation
Ning Lyu, Yuntao Liu, Yonghong Bai +1
Knowledge distillation (KD) enables model transfer across heterogeneous platforms and deployment environments, yet it exposes proprietary models to distillation-based theft, where…
PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability
Ning Lyu, Yuntao Liu, Yonghong Bai +1
Knowledge distillation transfers large teacher models to compact student models, enabling deployment on resource-limited platforms while suffering minimal performance degradation.…
Inference with Hybrid Bio-hardware Neural Networks
Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang +6
To understand the learning process in brains, biologically plausible algorithms have been explored by modeling the detailed neuron properties and dynamics. On the other hand, simpl…
A Supervised STDP-based Training Algorithm for Living Neural Networks
Yuan Zeng, Kevin Devincentis, Yao Xiao +4
Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection. Neural network models are inspi…