Algorithm/Software

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
An attentive sampling strategy that improves weight-sharing neural architecture search across a broad efficiency range.
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
Paper
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Data augmentation (DA) is an essential technique for training state-of-the-art deep learning systems. In this paper, we empirically …
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
Paper
TimingSAT: Decamouflaging timing-based logic obfuscation
In order to counter advanced reverse engineering techniques, various integrated circuit (IC) camouflaging methods are proposed to …
Meng Li, Kaveh Shamsi, Yier Jin, David Z Pan
Paper
Federated Learning with Non-IID Data
Federated learning enables resource-constrained edge compute devices, such as mobile phones and IoT devices, to learn a shared model …
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra
Paper
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training
Massive data exist among user local platforms that usually cannot support deep neural network (DNN) training due to computation and …
Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan
Paper
Cross-level monte carlo framework for system vulnerability evaluation against fault attack
Fault attack becomes a serious threat to system security and requires to be evaluated in the design stage. Existing methods usually …
Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan
Paper
AppSAT: Approximately Deobfuscating Integrated Circuits
In today’s diversified semiconductor supply-chain, protecting intellectual property (IP) and maintaining manufacturing integrity …
Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z Pan, Yier Jin
Paper
A monte carlo simulation flow for seu analysis of sequential circuits
An efficient methodology for soft error analysis of sequential circuits based on Monte Carlo sampling is proposed. It uses nested …
Meng Li, Ye Wang, Michael Orshansky
Paper