Publications

For a complete list of publications, please visit my Google Scholar.

Selected Publications

• Adversarial Vulnerability of Randomized Ensembles [code] [slides] [poster]
  International Conference on Machine Learning (ICML), 2022
  Hassan Dbouk and Naresh R. Shanbhag
  
  

• Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks [code] [slides] [poster]
  Advances in Neural Information Processing Systems (NeurIPS), 2021
  Hassan Dbouk and Naresh R. Shanbhag
  
  

• A 0.44-μJ/dec, 39.9-μs/dec, Recurrent Attention In-Memory Processor for Keyword Spotting
  IEEE Journal of Solid-State Circuits (JSSC), 2021
  Hassan Dbouk, Sujan K. Gonugondla, Charbel Sakr, and Naresh R. Shanbhag
  
  

• Fundamental Limits on The Precision of In-Memory Architectures
  IEEE Conference on Computer-Aided Design (ICCAD), 2020
  Sujan K. Gonugondla, Charbel Sakr, Hassan Dbouk, and Naresh R. Shanbhag
  
  

• DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks [slides]
  European Conference on Computer Vision (ECCV), 2020
  Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, and Naresh R. Shanbhag
  
  

• Low-complexity Fixed-point Convolutional Neural Networks for Automatic Target Recognition [slides]
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
  Hassan Dbouk, Hanfei Geng, Craig M. Vineyard, and Naresh R. Shanbhag
  
  

• KeyRAM: A 0.34 μJ/decision 18 k decisions/s Recurrent Attention In-Memory Processor for Keyword Spotting [slides]
  IEEE Custom Integrated Circuits Conference (CICC), 2020
  Hassan Dbouk, Sujan K. Gonugondla, Charbel Sakr, and Naresh R. Shanbhag