Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Adversarial Vulnerability of Randomized Ensembles


Jun 14, 2022
Hassan Dbouk, Naresh R. Shanbhag

Add code

* Published as a conference paper in ICML 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks


Nov 06, 2021
Hassan Dbouk, Naresh R. Shanbhag

Add code

* NeurIPS 2021 (Spotlight) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications


Dec 25, 2020
Sujan Kumar Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag

Add code

* 14 pages, 13 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks


Jul 19, 2020
Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, Naresh Shanbhag

Add code

* Published as a conference paper in ECCV 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email