Rosario Cammarota

According to our database, Rosario Cammarota authored at least 61 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory.

Saransh Gupta, Rosario Cammarota, Tajana Simunic

ACM Trans. Embed. Comput. Syst., March, 2024

Towards a Polynomial Instruction Based Compiler for Fully Homomorphic Encryption Accelerators.

Sejun Kim, Wen Wang, Duhyeong Kim, Adish Vartak, Michael Steiner, Rosario Cammarota

IACR Cryptol. ePrint Arch., 2024

Security Guidelines for Implementing Homomorphic Encryption.

Jean-Philippe Bossuat, Rosario Cammarota, Jung Hee Cheon, Ilaria Chillotti, Benjamin R. Curtis, Wei Dai, Huijing Gong, Erin Hales, Duhyeong Kim, Bryan Kumara, Changmin Lee, Xianhui Lu, Carsten Maple, Alberto Pedrouzo-Ulloa, Rachel Player, Luis Antonio Ruiz Lopez, Yongsoo Song, Donggeon Yhee, Bahattin Yildiz

IACR Cryptol. ePrint Arch., 2024

2023

Hardware-Software Co-design for Side-Channel Protected Neural Network Inference.

Anuj Dubey, Rosario Cammarota, Avinash Varna, Raghavan Kumar, Aydin Aysu

IACR Cryptol. ePrint Arch., 2023

High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application.

Rashmi Agrawal, Jung Ho Ahn, Flavio Bergamaschi, Ro Cammarota, Jung Hee Cheon, Fillipe D. M. de Souza, Huijing Gong, Minsik Kang, Duhyeong Kim, Jongmin Kim, Hubert de Lassus, Jai Hyun Park, Michael Steiner, Wen Wang

IACR Cryptol. ePrint Arch., 2023

FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption.

Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Kartikeyan Subramanyam, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, Tajana Rosing

CoRR, 2023

Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing.

Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, Tajana Rosing

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

2022

ModuloNET: Neural Networks Meet Modular Arithmetic for Efficient Hardware Masking.

Anuj Dubey, Afzal Ahmad, Muhammad Adeel Pasha, Rosario Cammarota, Aydin Aysu

IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022

Analyzing Security Vulnerabilities Induced by High-level Synthesis.

Nitin Pundir, Sohrab Aftabjahani, Rosario Cammarota, Mark M. Tehranipoor, Farimah Farahmandi

ACM J. Emerg. Technol. Comput. Syst., 2022

Guarding Machine Learning Hardware Against Physical Side-channel Attacks.

Anuj Dubey, Rosario Cammarota, Vikram B. Suresh, Aydin Aysu

ACM J. Emerg. Technol. Comput. Syst., 2022

BioHD: an efficient genome sequence search platform using HyperDimensional memorization.

Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Adaptive neural recovery for highly robust brain-like representation.

Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Intel HERACLES: Homomorphic Encryption Revolutionary Accelerator with Correctness for Learning-oriented End-to-End Solutions.

Rosario Cammarota

Proceedings of the 2022 on Cloud Computing Security Workshop, 2022

2021

Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography.

Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt

J. Signal Process. Syst., 2021

Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation.

Fateme S. Hosseini, Fanruo Meng, Chengmo Yang, Wujie Wen, Rosario Cammarota

ACM Trans. Embed. Comput. Syst., 2021

Introduction to the Special Issue on Emerging Challenges and Solutions in Hardware Security.

Domenic Forte, Debdeep Mukhopadhyay, Ilia Polian, Yunsi Fei, Rosario Cammarota

ACM J. Emerg. Technol. Comput. Syst., 2021

Guest Editors' Introduction: Special Issue on Top Picks in Hardware and Embedded Security.

Rosario Cammarota, Francesco Regazzoni

IEEE Des. Test, 2021

Protecting artificial intelligence IPs: a survey of watermarking and fingerprinting for machine learning.

Francesco Regazzoni, Paolo Palmieri, Fethulah Smailbegovic, Rosario Cammarota, Ilia Polian

CAAI Trans. Intell. Technol., 2021

Scalable edge-based hyperdimensional learning system with brain-like neural adaptation.

Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani

Proceedings of the International Conference for High Performance Computing, 2021

PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems.

Alejandro Hernández-Cano, Rosario Cammarota, Mohsen Imani

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Invited: Security Beyond Bulk Silicon: Opportunities and Challenges of Emerging Devices.

Lejla Batina, Rosario Cammarota, Nele Mentens, Ahmad-Reza Sadeghi, Johanna Sepúlveda, Shaza Zeitouni

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Synthesis of Flexible Accelerators for Early Adoption of Ring-LWE Post-quantum Cryptography.

Hamid Nejatollahi, Felipe Valencia, Subhadeep Banik, Francesco Regazzoni, Rosario Cammarota, Nikil D. Dutt

ACM Trans. Embed. Comput. Syst., 2020

CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware.

Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt

IACR Cryptol. ePrint Arch., 2020

TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit.

Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota

IACR Cryptol. ePrint Arch., 2020

MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference.

Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame

IACR Cryptol. ePrint Arch., 2020

Trustworthy AI Inference Systems: An Industry Research View.

Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton

CoRR, 2020

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.

Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung

CoRR, 2020

BoMaNet: Boolean Masking of an Entire Neural Network.

Anuj Dubey, Rosario Cammarota, Aydin Aysu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection.

Anuj Dubey, Rosario Cammarota, Aydin Aysu

Proceedings of the 2020 IEEE International Symposium on Hardware Oriented Security and Trust, 2020

Developing Privacy-preserving AI Systems: The Lessons learned.

Huili Chen, Siam Umar Hussain, Fabian Boemer, Emmanuel Stapf, Ahmad-Reza Sadeghi, Farinaz Koushanfar, Rosario Cammarota

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration.

Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni, Farinaz Koushanfar

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors.

Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt

IACR Cryptol. ePrint Arch., 2019

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.

Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski

IACR Cryptol. ePrint Arch., 2019

nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.

Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski

IACR Cryptol. ePrint Arch., 2019

Post-Quantum Lattice-Based Cryptography Implementations: A Survey.

Hamid Nejatollahi, Nikil D. Dutt, Sandip Ray, Francesco Regazzoni, Indranil Banerjee, Rosario Cammarota

ACM Comput. Surv., 2019

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

Anuj Dubey, Rosario Cammarota, Aydin Aysu

CoRR, 2019

ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications.

Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad

Proceedings of the 48th International Conference on Parallel Processing, 2019

Flexible NTT Accelerators for RLWE Lattice-Based Cryptography.

Hamid Nejatollahi, Rosario Cammarota, Nikil D. Dutt

Proceedings of the 37th IEEE International Conference on Computer Design, 2019

PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data.

Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni

Proceedings of the 37th IEEE International Conference on Computer Design, 2019

2018

Domain-specific Accelerators for Ideal Lattice-based Public Key Protocols.

Hamid Nejatollahi, Nikil D. Dutt, Indranil Banerjee, Rosario Cammarota

IACR Cryptol. ePrint Arch., 2018

Improving Performance and Mitigating Fault Attacks Using Value Prediction.

Rami Sheikh, Rosario Cammarota

Cryptogr., 2018

Special session: Recent developments in hardware security.

Ro Cammarota, Naghmeh Karimi, Siddharth Garg, Jeyavijayan Rajendran

Proceedings of the 36th IEEE VLSI Test Symposium, 2018

New Opportunities for Compilers in Computer Security.

Junjie Shen, Zhi Chen, Nahid Farhady Ghalaty, Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum

Proceedings of the Languages and Compilers for Parallel Computing, 2018

Machine learning IP protection.

Rosario Cammarota, Indranil Banerjee, Ofer Rosenberg

Proceedings of the International Conference on Computer-Aided Design, 2018

Value prediction for security (VPsec): Countering fault attacks in modern microprocessors.

Rami Sheikh, Ro Cammarota, Wenjia Ruan

Proceedings of the 2018 IEEE International Symposium on Hardware Oriented Security and Trust, 2018

Protecting the supply chain for automotives and IoTs.

Sandip Ray, Wen Chen, Rosario Cammarota

Proceedings of the 55th Annual Design Automation Conference, 2018

VPsec: countering fault attacks in general purpose microprocessors with value prediction.

Rosario Cammarota, Rami Sheikh

Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2017

CAMFAS: A Compiler Approach to Mitigate Fault Attacks via Enhanced SIMDization.

Zhi Chen, Junjie Shen, Alex Nicolau, Alexander V. Veidenbaum, Nahid Farhady Ghalaty, Rosario Cammarota

IACR Cryptol. ePrint Arch., 2017

Trends, challenges and needs for lattice-based cryptography implementations: special session.

Hamid Nejatollahi, Nikil D. Dutt, Rosario Cammarota

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion, 2017

2016

Polygonal Iteration Space Partitioning.

Aniket Shivam, Alexandru Nicolau, Alexander V. Veidenbaum, Mario Mango Furnari, Rosario Cammarota

Proceedings of the Languages and Compilers for Parallel Computing, 2016

2015

Fault Tolerant Scheduling for Parallel Loops on Shared Memory Systems.

Yizhuo Wang, Rosario Cammarota, Alexandru Nicolau

J. Inf. Sci. Eng., 2015

WebRTCbench: a benchmark for performance assessment of webRTC implementations.

Sajjad Taheri, Laleh Aghababaie Beni, Alexander V. Veidenbaum, Alexandru Nicolau, Rosario Cammarota, Jianlin Qiu, Qiang Lu, Mohammad R. Haghighat

Proceedings of the 13th IEEE Symposium on Embedded Systems For Real-time Multimedia, 2015

2014

A Compilation and Run-Time Framework for Maximizing Performance of Self-scheduling Algorithms.

Yizhuo Wang, Laleh Aghababaie Beni, Alexandru Nicolau, Alexander V. Veidenbaum, Rosario Cammarota

Proceedings of the Network and Parallel Computing, 2014

2013

Effective Evaluation of Multi-core Based Systems.

Rosario Cammarota, Laleh Aghababaie Beni, Alexandru Nicolau, Alexander V. Veidenbaum

Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013

On the Determination of Inlining Vectors for Program Optimization.

Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum, Arun Kejariwal, Debora Donato, Mukund Madhugiri

Proceedings of the Compiler Construction - 22nd International Conference, 2013

Optimizing Program Performance via Similarity, Using a Feature-Agnostic Approach.

Rosario Cammarota, Laleh Aghababaie Beni, Alexandru Nicolau, Alexander V. Veidenbaum

Proceedings of the Advanced Parallel Processing Technologies, 2013

2012

Improving Cache Management Policies Using Dynamic Reuse Distances.

Nam Duong, Dali Zhao, Taesu Kim, Rosario Cammarota, Mateo Valero, Alexander V. Veidenbaum

Proceedings of the 45th Annual IEEE/ACM International Symposium on Microarchitecture, 2012

Just in Time Load Balancing.

Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum

Proceedings of the Languages and Compilers for Parallel Computing, 2012

A fault tolerant self-scheduling scheme for parallel loops on shared memory systems.

Yizhuo Wang, Alexandru Nicolau, Rosario Cammarota, Alexander V. Veidenbaum

Proceedings of the 19th International Conference on High Performance Computing, 2012

Selective search of inlining vectors for program optimization.

Rosario Cammarota, Arun Kejariwal, Debora Donato, Alexandru Nicolau, Alexander V. Veidenbaum

Proceedings of the Computing Frontiers Conference, CF'12, 2012

2011

Pruning hardware evaluation space via correlation-driven application similarity analysis.

Rosario Cammarota, Arun Kejariwal, Paolo D'Alberto, Sapan Panigrahi, Alexander V. Veidenbaum, Alexandru Nicolau

Proceedings of the 8th Conference on Computing Frontiers, 2011