Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks

Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo. Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. In 58th ACM/IEEE Design Automation Conference, DAC 2021, San Francisco, CA, USA, December 5-9, 2021. pages 559-564, IEEE, 2021. [doi]

@inproceedings{CherupallyRYSFS21,
  title = {Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks},
  author = {Sai Kiran Cherupally and Adnan Siraj Rakin and Shihui Yin and Mingoo Seok and Deliang Fan and Jae-sun Seo},
  year = {2021},
  doi = {10.1109/DAC18074.2021.9586233},
  url = {https://doi.org/10.1109/DAC18074.2021.9586233},
  researchr = {https://researchr.org/publication/CherupallyRYSFS21},
  cites = {0},
  citedby = {0},
  pages = {559-564},
  booktitle = {58th ACM/IEEE Design Automation Conference, DAC 2021, San Francisco, CA, USA, December 5-9, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3274-0},
}