Rosario Cammarota

According to our database1, Rosario Cammarota authored at least 37 papers between 2011 and 2020.

Collaborative distances:



In proceedings 
PhD thesis 





Synthesis of Flexible Accelerators for Early Adoption of Ring-LWE Post-quantum Cryptography.
ACM Trans. Embed. Comput. Syst., 2020

CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware.
IACR Cryptol. ePrint Arch., 2020

MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference.
IACR Cryptol. ePrint Arch., 2020

Trustworthy AI Inference Systems: An Industry Research View.
CoRR, 2020

BoMaNet: Boolean Masking of an Entire Neural Network.
CoRR, 2020

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.
CoRR, 2020

Developing Privacy-preserving AI Systems: The Lessons learned.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors.
IACR Cryptol. ePrint Arch., 2019

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.
IACR Cryptol. ePrint Arch., 2019

nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.
IACR Cryptol. ePrint Arch., 2019

Post-Quantum Lattice-Based Cryptography Implementations: A Survey.
ACM Comput. Surv., 2019

MaskedNet: A Pathway for Secure Inference against Power Side-Channel Attacks.
CoRR, 2019

ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Flexible NTT Accelerators for RLWE Lattice-Based Cryptography.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

Domain-specific Accelerators for Ideal Lattice-based Public Key Protocols.
IACR Cryptol. ePrint Arch., 2018

Improving Performance and Mitigating Fault Attacks Using Value Prediction.
Cryptogr., 2018

New Opportunities for Compilers in Computer Security.
Proceedings of the Languages and Compilers for Parallel Computing, 2018

Machine learning IP protection.
Proceedings of the International Conference on Computer-Aided Design, 2018

Value prediction for security (VPsec): Countering fault attacks in modern microprocessors.
Proceedings of the 2018 IEEE International Symposium on Hardware Oriented Security and Trust, 2018

Protecting the supply chain for automotives and IoTs.
Proceedings of the 55th Annual Design Automation Conference, 2018

VPsec: countering fault attacks in general purpose microprocessors with value prediction.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

CAMFAS: A Compiler Approach to Mitigate Fault Attacks via Enhanced SIMDization.
IACR Cryptol. ePrint Arch., 2017

Trends, challenges and needs for lattice-based cryptography implementations: special session.
Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion, 2017

Polygonal Iteration Space Partitioning.
Proceedings of the Languages and Compilers for Parallel Computing, 2016

Fault Tolerant Scheduling for Parallel Loops on Shared Memory Systems.
J. Inf. Sci. Eng., 2015

WebRTCbench: a benchmark for performance assessment of webRTC implementations.
Proceedings of the 13th IEEE Symposium on Embedded Systems For Real-time Multimedia, 2015

A Compilation and Run-Time Framework for Maximizing Performance of Self-scheduling Algorithms.
Proceedings of the Network and Parallel Computing, 2014

Effective Evaluation of Multi-core Based Systems.
Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013

On the Determination of Inlining Vectors for Program Optimization.
Proceedings of the Compiler Construction - 22nd International Conference, 2013

Optimizing Program Performance via Similarity, Using a Feature-Agnostic Approach.
Proceedings of the Advanced Parallel Processing Technologies, 2013

Improving Cache Management Policies Using Dynamic Reuse Distances.
Proceedings of the 45th Annual IEEE/ACM International Symposium on Microarchitecture, 2012

Just in Time Load Balancing.
Proceedings of the Languages and Compilers for Parallel Computing, 2012

A fault tolerant self-scheduling scheme for parallel loops on shared memory systems.
Proceedings of the 19th International Conference on High Performance Computing, 2012

Selective search of inlining vectors for program optimization.
Proceedings of the Computing Frontiers Conference, CF'12, 2012

Pruning hardware evaluation space via correlation-driven application similarity analysis.
Proceedings of the 8th Conference on Computing Frontiers, 2011