Cherupally, Sai Kiran, Rakin, Adnan Siraj, Yin, Shihui, Seok, Mingoo, Fan, Deliang, and Seo, Jae-sun. Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. Retrieved from https://par.nsf.gov/biblio/10322666. 2021 58th ACM/IEEE Design Automation Conference (DAC) . Web. doi:10.1109/DAC18074.2021.9586233.

Cherupally, Sai Kiran, Rakin, Adnan Siraj, Yin, Shihui, Seok, Mingoo, Fan, Deliang, & Seo, Jae-sun. Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. 2021 58th ACM/IEEE Design Automation Conference (DAC), (). Retrieved from https://par.nsf.gov/biblio/10322666. https://doi.org/10.1109/DAC18074.2021.9586233

Cherupally, Sai Kiran, Rakin, Adnan Siraj, Yin, Shihui, Seok, Mingoo, Fan, Deliang, and Seo, Jae-sun. "Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks". 2021 58th ACM/IEEE Design Automation Conference (DAC) (). Country unknown/Code not available. https://doi.org/10.1109/DAC18074.2021.9586233. https://par.nsf.gov/biblio/10322666.

@article{osti_10322666,
place = {Country unknown/Code not available}, title = {Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks}, url = {https://par.nsf.gov/biblio/10322666}, DOI = {10.1109/DAC18074.2021.9586233}, abstractNote = {}, journal = {2021 58th ACM/IEEE Design Automation Conference (DAC)}, author = {Cherupally, Sai Kiran and Rakin, Adnan Siraj and Yin, Shihui and Seok, Mingoo and Fan, Deliang and Seo, Jae-sun}, }