Golder, Anupam, Das, Debayan, Danial, Josef, Ghosh, Santosh, Sen, Shreyas, and Raychowdhury, Arijit. Practical Approaches Toward Deep-Learning-Based Cross-Device Power Side-Channel Attack. Retrieved from https://par.nsf.gov/biblio/10123830. IEEE Transactions on Very Large Scale Integration (VLSI) Systems . Web. doi:10.1109/TVLSI.2019.2926324.

Golder, Anupam, Das, Debayan, Danial, Josef, Ghosh, Santosh, Sen, Shreyas, & Raychowdhury, Arijit. Practical Approaches Toward Deep-Learning-Based Cross-Device Power Side-Channel Attack. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, (). Retrieved from https://par.nsf.gov/biblio/10123830. https://doi.org/10.1109/TVLSI.2019.2926324

Golder, Anupam, Das, Debayan, Danial, Josef, Ghosh, Santosh, Sen, Shreyas, and Raychowdhury, Arijit. "Practical Approaches Toward Deep-Learning-Based Cross-Device Power Side-Channel Attack". IEEE Transactions on Very Large Scale Integration (VLSI) Systems (). Country unknown/Code not available. https://doi.org/10.1109/TVLSI.2019.2926324. https://par.nsf.gov/biblio/10123830.

@article{osti_10123830,
place = {Country unknown/Code not available}, title = {Practical Approaches Toward Deep-Learning-Based Cross-Device Power Side-Channel Attack}, url = {https://par.nsf.gov/biblio/10123830}, DOI = {10.1109/TVLSI.2019.2926324}, abstractNote = {}, journal = {IEEE Transactions on Very Large Scale Integration (VLSI) Systems}, author = {Golder, Anupam and Das, Debayan and Danial, Josef and Ghosh, Santosh and Sen, Shreyas and Raychowdhury, Arijit}, }