Rosario Cammarota

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 63

Top Topics

Special Session

Machine Learning

Homomorphic Encryption

Top Venues

IACR Cryptol. ePrint Arch.

ACM J. Emerg. Technol. Comput. Syst.

Publications

Sejun Kim, Wen Wang, Duhyeong Kim, Adish Vartak, Michael Steiner, Rosario Cammarota
Towards a Polynomial Instruction Based Compiler for Fully Homomorphic Encryption Accelerators. IACR Cryptol. ePrint Arch. 2024 (2024)
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
Security Guidelines for Implementing Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2024 (2024)
Saransh Gupta, Rosario Cammarota, Tajana Simunic
MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory. ACM Trans. Embed. Comput. Syst. 23 (2) (2024)
Anuj Dubey, Rosario Cammarota, Avinash Varna, Raghavan Kumar, Aydin Aysu
Hardware-Software Co-design for Side-Channel Protected Neural Network Inference. HOST (2023)
Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Kartikeyan Subramanyam, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, Tajana Rosing
FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption. CoRR (2023)
Anuj Dubey, Rosario Cammarota, Avinash Varna, Raghavan Kumar, Aydin Aysu
Hardware-Software Co-design for Side-Channel Protected Neural Network Inference. IACR Cryptol. ePrint Arch. 2023 (2023)
Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, Tajana Rosing
Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing. ISLPED (2023)
Anuj Dubey, Afzal Ahmad, Muhammad Adeel Pasha, Rosario Cammarota, Aydin Aysu
ModuloNET: Neural Networks Meet Modular Arithmetic for Efficient Hardware Masking. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2022 (1) (2022)
Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani
Adaptive neural recovery for highly robust brain-like representation. DAC (2022)
Rosario Cammarota
Intel HERACLES: Homomorphic Encryption Revolutionary Accelerator with Correctness for Learning-oriented End-to-End Solutions. CCSW@CCS (2022)
Nitin Pundir, Sohrab Aftabjahani, Rosario Cammarota, Mark M. Tehranipoor, Farimah Farahmandi
Analyzing Security Vulnerabilities Induced by High-level Synthesis. ACM J. Emerg. Technol. Comput. Syst. 18 (3) (2022)
Anuj Dubey, Rosario Cammarota, Vikram B. Suresh, Aydin Aysu
Guarding Machine Learning Hardware Against Physical Side-channel Attacks. ACM J. Emerg. Technol. Comput. Syst. 18 (3) (2022)
Saransh Gupta, Rosario Cammarota, Tajana Rosing
MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory. CoRR (2022)
Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani
BioHD: an efficient genome sequence search platform using HyperDimensional memorization. ISCA (2022)
Alejandro Hernández-Cano, Rosario Cammarota, Mohsen Imani
PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. DAC (2021)
Rosario Cammarota, Francesco Regazzoni
Guest Editors' Introduction: Special Issue on Top Picks in Hardware and Embedded Security. IEEE Des. Test 38 (3) (2021)
Anuj Dubey, Afzal Ahmad, Muhammad Adeel Pasha, Rosario Cammarota, Aydin Aysu
ModuloNET: Neural Networks Meet Modular Arithmetic for Efficient Hardware Masking. IACR Cryptol. ePrint Arch. 2021 (2021)
Anuj Dubey, Rosario Cammarota, Vikram Suresh, Aydin Aysu
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks. CoRR (2021)
Francesco Regazzoni, Paolo Palmieri, Fethulah Smailbegovic, Rosario Cammarota, Ilia Polian
Protecting artificial intelligence IPs: a survey of watermarking and fingerprinting for machine learning. CAAI Trans. Intell. Technol. 6 (2) (2021)
Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt
Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography. J. Signal Process. Syst. 93 (10) (2021)
Domenic Forte, Debdeep Mukhopadhyay, Ilia Polian, Yunsi Fei, Rosario Cammarota
Introduction to the Special Issue on Emerging Challenges and Solutions in Hardware Security. ACM J. Emerg. Technol. Comput. Syst. 17 (3) (2021)
Lejla Batina, Rosario Cammarota, Nele Mentens, Ahmad-Reza Sadeghi, Johanna Sepúlveda, Shaza Zeitouni
Invited: Security Beyond Bulk Silicon: Opportunities and Challenges of Emerging Devices. DAC (2021)
Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani
Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. SC (2021)
Fateme S. Hosseini, Fanruo Meng, Chengmo Yang, Wujie Wen, Rosario Cammarota
Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame
MP2ML: a mixed-protocol machine learning framework for private inference. ARES (2020)
Hamid Nejatollahi, Felipe Valencia, Subhadeep Banik, Francesco Regazzoni, Rosario Cammarota, Nikil D. Dutt
Synthesis of Flexible Accelerators for Early Adoption of Ring-LWE Post-quantum Cryptography. ACM Trans. Embed. Comput. Syst. 19 (2) (2020)
Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni, Farinaz Koushanfar
AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. DAC (2020)
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. IACR Cryptol. ePrint Arch. 2020 (2020)
Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. DAC (2020)
Anuj Dubey, Rosario Cammarota, Aydin Aysu
BoMaNet: Boolean Masking of an Entire Neural Network. ICCAD (2020)
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
Trustworthy AI Inference Systems: An Industry Research View. CoRR (2020)
Anuj Dubey, Rosario Cammarota, Aydin Aysu
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection. HOST (2020)
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
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. CoRR (2020)
Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. ICASSP (2020)
Anuj Dubey, Rosario Cammarota, Aydin Aysu
BoMaNet: Boolean Masking of an Entire Neural Network. CoRR (2020)
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. PPMLP@CCS (2020)
Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. PPMLP@CCS (2020)
Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. IACR Cryptol. ePrint Arch. 2020 (2020)
Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. IACR Cryptol. ePrint Arch. 2020 (2020)
Huili Chen, Siam Umar Hussain, Fabian Boemer, Emmanuel Stapf, Ahmad-Reza Sadeghi, Farinaz Koushanfar, Rosario Cammarota
Developing Privacy-preserving AI Systems: The Lessons learned. DAC (2020)
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. WAHC@CCS (2019)
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. IACR Cryptol. ePrint Arch. 2019 (2019)
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data. IACR Cryptol. ePrint Arch. 2019 (2019)
Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad
ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. ICPP (2019)
Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. IACR Cryptol. ePrint Arch. 2019 (2019)
Hamid Nejatollahi, Nikil D. Dutt, Sandip Ray, Francesco Regazzoni, Indranil Banerjee, Rosario Cammarota
Post-Quantum Lattice-Based Cryptography Implementations: A Survey. ACM Comput. Surv. 51 (6) (2019)
Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni
PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data. ICCD (2019)
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data. CF (2019)
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. CoRR (2019)
Hamid Nejatollahi, Rosario Cammarota, Nikil D. Dutt
Flexible NTT Accelerators for RLWE Lattice-Based Cryptography. ICCD (2019)
Anuj Dubey, Rosario Cammarota, Aydin Aysu
MaskedNet: A Pathway for Secure Inference against Power Side-Channel Attacks. CoRR (2019)
Rosario Cammarota, Indranil Banerjee, Ofer Rosenberg
Machine learning IP protection. ICCAD (2018)
Junjie Shen, Zhi Chen, Nahid Farhady Ghalaty, Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum
New Opportunities for Compilers in Computer Security. LCPC (2018)
Hamid Nejatollahi, Nikil D. Dutt, Indranil Banerjee, Rosario Cammarota
Domain-specific Accelerators for Ideal Lattice-based Public Key Protocols. IACR Cryptol. ePrint Arch. 2018 (2018)
Sandip Ray, Wen Chen, Rosario Cammarota
Protecting the supply chain for automotives and IoTs. DAC (2018)
Rami Sheikh, Rosario Cammarota
Improving Performance and Mitigating Fault Attacks Using Value Prediction. Cryptogr. 2 (4) (2018)
Rosario Cammarota, Rami Sheikh
VPsec: countering fault attacks in general purpose microprocessors with value prediction. CF (2018)
Zhi Chen, Junjie Shen, Alex Nicolau, Alexander V. Veidenbaum, Nahid Farhady Ghalaty, Rosario Cammarota
CAMFAS: A Compiler Approach to Mitigate Fault Attacks via Enhanced SIMDization. FDTC (2017)
Hamid Nejatollahi, Nikil D. Dutt, Rosario Cammarota
Trends, challenges and needs for lattice-based cryptography implementations: special session. CODES+ISSS (2017)
Zhi Chen, Junjie Shen, Alex Nicolau, Alexander V. Veidenbaum, Nahid Farhady Ghalaty, Rosario Cammarota
CAMFAS: A Compiler Approach to Mitigate Fault Attacks via Enhanced SIMDization. IACR Cryptol. ePrint Arch. 2017 (2017)
Aniket Shivam, Alexandru Nicolau, Alexander V. Veidenbaum, Mario Mango Furnari, Rosario Cammarota
Polygonal Iteration Space Partitioning. LCPC (2016)
Sajjad Taheri, Laleh Aghababaie Beni, Alexander V. Veidenbaum, Alexandru Nicolau, Rosario Cammarota, Jianlin Qiu, Qiang Lu, Mohammad R. Haghighat
WebRTCbench: a benchmark for performance assessment of webRTC implementations. ESTIMedia (2015)
Yizhuo Wang, Rosario Cammarota, Alexandru Nicolau
Fault Tolerant Scheduling for Parallel Loops on Shared Memory Systems. J. Inf. Sci. Eng. 31 (6) (2015)
Yizhuo Wang, Laleh Aghababaie Beni, Alexandru Nicolau, Alexander V. Veidenbaum, Rosario Cammarota
A Compilation and Run-Time Framework for Maximizing Performance of Self-scheduling Algorithms. NPC (2014)
Rosario Cammarota, Laleh Aghababaie Beni, Alexandru Nicolau, Alexander V. Veidenbaum
Optimizing Program Performance via Similarity, Using a Feature-Agnostic Approach. APPT (2013)
Rosario Cammarota, Laleh Aghababaie Beni, Alexandru Nicolau, Alexander V. Veidenbaum
Effective Evaluation of Multi-core Based Systems. ISPDC (2013)
Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum, Arun Kejariwal, Debora Donato, Mukund Madhugiri
On the Determination of Inlining Vectors for Program Optimization. CC (2013)
Rosario Cammarota, Arun Kejariwal, Debora Donato, Alexandru Nicolau, Alexander V. Veidenbaum
Selective search of inlining vectors for program optimization. Conf. Computing Frontiers (2012)
Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum
Just in Time Load Balancing. LCPC (2012)
Nam Duong, Dali Zhao, Taesu Kim, Rosario Cammarota, Mateo Valero, Alexander V. Veidenbaum
Improving Cache Management Policies Using Dynamic Reuse Distances. MICRO (2012)
Yizhuo Wang, Alexandru Nicolau, Rosario Cammarota, Alexander V. Veidenbaum
A fault tolerant self-scheduling scheme for parallel loops on shared memory systems. HiPC (2012)
Rosario Cammarota, Arun Kejariwal, Paolo D'Alberto, Sapan Panigrahi, Alexander V. Veidenbaum, Alexandru Nicolau
Pruning hardware evaluation space via correlation-driven application similarity analysis. Conf. Computing Frontiers (2011)