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07/11/2023
Mixed-Precision Quantization with Cross-Layer Dependencies
Quantization is commonly used to compress and accelerate deep neural net...
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03/05/2023
A Provably Secure Strong PUF based on LWE: Construction and Implementation
We construct a strong PUF with provable security against ML attacks on b...
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11/11/2021
Variability-Aware Training and Self-Tuning of Highly Quantized DNNs for Analog PIM
DNNs deployed on analog processing in memory (PIM) architectures are sub...
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08/28/2021
Power-Based Attacks on Spatial DNN Accelerators
With proliferation of DNN-based applications, the confidentiality of DNN...
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06/10/2020
Training with Multi-Layer Embeddings for Model Reduction
Modern recommendation systems rely on real-valued embeddings of categori...
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09/30/2019