78 citations · 88 across the 3 of their papers we have counts for
3 papers
cs.CR2024★ 5 cited
Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption
Jianming Tong, Jingtian Dang, Anupam Golder +3
As machine learning (ML) permeates fields like healthcare, facial recognition, and blockchain, the need to protect sensitive data intensifies. Fully Homomorphic Encryption (FHE) al…
cs.CR2020★ 5 cited
EM-X-DL: Efficient Cross-Device Deep Learning Side-Channel Attack with Noisy EM Signatures
Josef Danial, Debayan Das, Anupam Golder +3
This work presents a Cross-device Deep-Learning based Electromagnetic (EM-X-DL) side-channel analysis (SCA), achieving >90% single-trace attack accuracy on AES-128, even in the pre…
eess.SP2019★ 78 cited
Practical Approaches Towards Deep-Learning Based Cross-Device Power Side Channel Attack
Anupam Golder, Debayan Das, Josef Danial +3
Power side-channel analysis (SCA) has been of immense interest to most embedded designers to evaluate the physical security of the system. This work presents profiling-based cross-…