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AlphaNet: Improved Training of Supernets with Alpha-Divergence
Weight-sharing neural architecture search (NAS) is an effective technique for automating efficient neural architecture design. …
Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
Paper
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
Improving efficiency in neural network accelerator using operands hamming distance optimization
Neural network accelerator is a key enabler for the on-device AI inference, for which energy efficiency is an important metric. The …
Meng Li, Yilei Li, 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
Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks
Neural architecture search (NAS) has shown great promise in designing state-of-the-art (SOTA) models that are both accurate and …
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
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
A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion
Neural network accelerator is a key enabler for the on-device AI inference, for which energy efficiency is an important metric. The …
Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan
Paper
Provably secure camouflaging strategy for IC protection
The advancing of reverse engineering techniques has complicated the efforts in intellectual property protection. Proactive methods have …
Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, 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