APA (7th ed.) Citation

Danial, J., Das, D., Golder, A., Ghosh, S., Raychowdhury, A., & Sen, S. (2022). EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM Signatures. ACM journal on emerging technologies in computing systems, 18(1), 1-17. https://doi.org/10.1145/3465380

Chicago Style (17th ed.) Citation

Danial, Josef, Debayan Das, Anupam Golder, Santosh Ghosh, Arijit Raychowdhury, and Shreyas Sen. "EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM Signatures." ACM Journal on Emerging Technologies in Computing Systems 18, no. 1 (2022): 1-17. https://doi.org/10.1145/3465380.

MLA (9th ed.) Citation

Danial, Josef, et al. "EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM Signatures." ACM Journal on Emerging Technologies in Computing Systems, vol. 18, no. 1, 2022, pp. 1-17, https://doi.org/10.1145/3465380.