80 citations · 115 across the 9 of their papers we have counts for
9 papers
Characterizing the Sensitivity to Individual Bit Flips in Client-Side Operations of the CKKS Scheme
Matias Mazzanti, Augusto Vega, Pradip Bose +1
Homomorphic Encryption (HE) enables computation on encrypted data without decryption, making it a cornerstone of privacy-preserving computation in untrusted environments. As HE see…
Understanding the Error Sensitivity of Privacy-Aware Computing
Matías Mazzanti, Esteban Mocskos, Augusto Vega +1
Homomorphic Encryption (HE) enables secure computation on encrypted data without decryption, allowing a great opportunity for privacy-preserving computation. In particular, domains…
Towards Generalized On-Chip Communication for Programmable Accelerators in Heterogeneous Architectures
Joseph Zuckerman, John-David Wellman, Ajay Vanamali +8
We present several enhancements to the open-source ESP platform to support flexible and efficient on-chip communication for programmable accelerators in heterogeneous SoCs. These e…
Efficient Pruning for Machine Learning Under Homomorphic Encryption
Ehud Aharoni, Moran Baruch, Pradip Bose +8
Privacy-preserving machine learning (PPML) solutions are gaining widespread popularity. Among these, many rely on homomorphic encryption (HE) that offers confidentiality of the mod…
HetSched: Quality-of-Mission Aware Scheduling for Autonomous Vehicle SoCs
Aporva Amarnath, Subhankar Pal, Hiwot Kassa +6
Systems-on-Chips (SoCs) that power autonomous vehicles (AVs) must meet stringent performance and safety requirements prior to deployment. With increasing complexity in AV applicati…
MicroGrad: A Centralized Framework for Workload Cloning and Stress Testing
Gokul Subramanian Ravi, Ramon Bertran, Pradip Bose +1
We present MicroGrad, a centralized automated framework that is able to efficiently analyze the capabilities, limits and sensitivities of complex modern processors in the face of c…