Pruning hardware evaluation space via correlation-driven application similarity analysis. - Rosario Cammarota; Arun Kejariwal; Paolo D'Alberto; Sapan Panigrahi; Alexander V. Veidenbaum; Alexandru Nicolau (Conf. Computing Frontiers, 2011)

Selective search of inlining vectors for program optimization. - Rosario Cammarota; Arun Kejariwal; Debora Donato; Alexandru Nicolau; Alexander V. Veidenbaum (Conf. Computing Frontiers, 2012)

A fault tolerant self-scheduling scheme for parallel loops on shared memory systems. - Yizhuo Wang 001; Alexandru Nicolau; Rosario Cammarota; Alexander V. Veidenbaum (HiPC, 2012)

Just in Time Load Balancing. - Rosario Cammarota; Alexandru Nicolau; Alexander V. Veidenbaum (LCPC, 2012)

Improving Cache Management Policies Using Dynamic Reuse Distances. - Nam Duong; Dali Zhao; Taesu Kim; Rosario Cammarota; Mateo Valero; Alexander V. Veidenbaum (MICRO, 2012)

Optimizing Program Performance via Similarity, Using a Feature-Agnostic Approach. - Rosario Cammarota; Laleh Aghababaie Beni; Alexandru Nicolau; Alexander V. Veidenbaum (APPT, 2013)

On the Determination of Inlining Vectors for Program Optimization. - Rosario Cammarota; Alexandru Nicolau; Alexander V. Veidenbaum; Arun Kejariwal; Debora Donato; Mukund Madhugiri (CC, 2013)

Effective Evaluation of Multi-core Based Systems. - Rosario Cammarota; Laleh Aghababaie Beni; Alexandru Nicolau; Alexander V. Veidenbaum (ISPDC, 2013)

A Compilation and Run-Time Framework for Maximizing Performance of Self-scheduling Algorithms. - Yizhuo Wang 001; Laleh Aghababaie Beni; Alexandru Nicolau; Alexander V. Veidenbaum; Rosario Cammarota (NPC, 2014)

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 (ESTIMedia, 2015)

Fault Tolerant Scheduling for Parallel Loops on Shared Memory Systems. - Yizhuo Wang 001; Rosario Cammarota; Alexandru Nicolau (J. Inf. Sci. Eng., 2015)

Polygonal Iteration Space Partitioning. - Aniket Shivam; Alexandru Nicolau; Alexander V. Veidenbaum; Mario Mango Furnari; Rosario Cammarota (LCPC, 2016)

Trends, challenges and needs for lattice-based cryptography implementations: special session. - Hamid Nejatollahi; Nikil D. Dutt; Rosario Cammarota (CODES+ISSS, 2017)

CAMFAS: A Compiler Approach to Mitigate Fault Attacks via Enhanced SIMDization. - Zhi Chen 001; Junjie Shen 001; Alex Nicolau; Alexander V. Veidenbaum; Nahid Farhady Ghalaty; Rosario Cammarota (IACR Cryptol. ePrint Arch., 2017)

VPsec: countering fault attacks in general purpose microprocessors with value prediction. - Rosario Cammarota; Rami Sheikh (CF, 2018)

Protecting the supply chain for automotives and IoTs. - Sandip Ray; Wen Chen 016; Rosario Cammarota (DAC, 2018)

Value prediction for security (VPsec): Countering fault attacks in modern microprocessors. - Rami Sheikh; Ro Cammarota; Wenjia Ruan (HOST, 2018)

Machine learning IP protection. - Rosario Cammarota; Indranil Banerjee; Ofer Rosenberg (ICCAD, 2018)

New Opportunities for Compilers in Computer Security. - Junjie Shen 001; Zhi Chen 001; Nahid Farhady Ghalaty; Rosario Cammarota; Alexandru Nicolau; Alexander V. Veidenbaum (LCPC, 2018)

Special session: Recent developments in hardware security. - Ro Cammarota; Naghmeh Karimi; Siddharth Garg; Jeyavijayan Rajendran (VTS, 2018)

Improving Performance and Mitigating Fault Attacks Using Value Prediction. - Rami Sheikh; Rosario Cammarota (Cryptogr., 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)

PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data. - Huili Chen; Rosario Cammarota; Felipe Valencia; Francesco Regazzoni 001 (ICCD, 2019)

Flexible NTT Accelerators for RLWE Lattice-Based Cryptography. - Hamid Nejatollahi; Rosario Cammarota; Nikil D. Dutt (ICCD, 2019)

ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. - Maria Malik; Hassan Ghasemzadeh 001; Tinoosh Mohsenin; Rosario Cammarota; Liang Zhao 002; Avesta Sasan; Houman Homayoun; Setareh Rafatirad (ICPP, 2019)

MaskedNet: A Pathway for Secure Inference against Power Side-Channel Attacks. - Anuj Dubey; Rosario Cammarota; Aydin Aysu (CoRR, 2019)

Post-Quantum Lattice-Based Cryptography Implementations: A Survey. - Hamid Nejatollahi; Nikil D. Dutt; Sandip Ray; Francesco Regazzoni 001; Indranil Banerjee; Rosario Cammarota (ACM Comput. Surv., 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)

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)

Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. - Hamid Nejatollahi; Sina Shahhosseini; Rosario Cammarota; Nikil D. Dutt (IACR Cryptol. ePrint Arch., 2019)

AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. - Huili Chen; Rosario Cammarota; Felipe Valencia; Francesco Regazzoni 001; Farinaz Koushanfar (DAC, 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 (DAC, 2020)

MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection. - Anuj Dubey; Rosario Cammarota; Aydin Aysu (HOST, 2020)

BoMaNet: Boolean Masking of an Entire Neural Network. - Anuj Dubey; Rosario Cammarota; Aydin Aysu (ICCAD, 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; et al. (CoRR, 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 003; Emmanuel Stapf; Ahmad-Reza Sadeghi; Daniel Demmler; Huili Chen; et al. (CoRR, 2020)

MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. - Fabian Boemer; Rosario Cammarota; Daniel Demmler; Thomas Schneider 003; Hossein Yalame (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)

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)

Synthesis of Flexible Accelerators for Early Adoption of Ring-LWE Post-quantum Cryptography. - Hamid Nejatollahi; Felipe Valencia; Subhadeep Banik; Francesco Regazzoni 001; Rosario Cammarota; Nikil D. Dutt (ACM Trans. Embed. Comput. Syst., 2020)

Invited: Security Beyond Bulk Silicon: Opportunities and Challenges of Emerging Devices. - Lejla Batina; Rosario Cammarota; Nele Mentens; Ahmad-Reza Sadeghi; Johanna Sepúlveda; Shaza Zeitouni (DAC, 2021)

PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. - Alejandro Hernández-Cano; Rosario Cammarota; Mohsen Imani (DAC, 2021)

Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. - Zhuowen Zou; Yeseong Kim; Farhad Imani; Haleh Alimohamadi; Rosario Cammarota; Mohsen Imani (SC, 2021)

Protecting artificial intelligence IPs: a survey of watermarking and fingerprinting for machine learning. - Francesco Regazzoni 001; Paolo Palmieri 001; Fethulah Smailbegovic; Rosario Cammarota; Ilia Polian (CAAI Trans. Intell. Technol., 2021)

Guest Editors' Introduction: Special Issue on Top Picks in Hardware and Embedded Security. - Rosario Cammarota; Francesco Regazzoni 001 (IEEE Des. Test, 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)

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)

Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography. - Hamid Nejatollahi; Sina Shahhosseini; Rosario Cammarota; Nikil D. Dutt (J. Signal Process. Syst., 2021)

Intel HERACLES: Homomorphic Encryption Revolutionary Accelerator with Correctness for Learning-oriented End-to-End Solutions. - Rosario Cammarota (CCSW, 2022)

Adaptive neural recovery for highly robust brain-like representation. - Prathyush Poduval; Yang Ni 001; Yeseong Kim; Kai Ni 004; Raghavan Kumar; Rosario Cammarota; Mohsen Imani (DAC, 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 (ISCA, 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)

Analyzing Security Vulnerabilities Induced by High-level Synthesis. - Nitin Pundir; Sohrab Aftabjahani; Rosario Cammarota; Mark Tehranipoor; Farimah Farahmandi (ACM J. Emerg. Technol. Comput. Syst., 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)

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 (ISLPED, 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)

High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application. - Rashmi Agrawal 001; Jung Ho Ahn; Flávio Bergamaschi; Ro Cammarota; Jung Hee Cheon; Fillipe D. M. de Souza; Huijing Gong; Minsik Kang; Duhyeong Kim; Jongmin Kim 007; Hubert de Lassus; Jai Hyun Park; et al. (IACR Cryptol. ePrint Arch., 2023)

Hardware-Software Co-design for Side-Channel Protected Neural Network Inference. - Anuj Dubey; Rosario Cammarota; Avinash Varna 001; Raghavan Kumar; Aydin Aysu (IACR Cryptol. ePrint Arch., 2023)

UFC: A Unified Accelerator for Fully Homomorphic Encryption. - Minxuan Zhou; Yujin Nam; Xuan Wang; Youhak Lee; Chris Wilkerson; Raghavan Kumar; Sachin Taneja; Sanu Mathew; Rosario Cammarota; Tajana Rosing (MICRO, 2024)

Security Guidelines for Implementing Homomorphic Encryption. - Jean-Philippe Bossuat; Rosario Cammarota; Ilaria Chillotti; Benjamin R. Curtis; Wei Dai 007; Huijing Gong; Erin Hales; Duhyeong Kim; Bryan Kumara; Changmin Lee 001; Xianhui Lu; Carsten Maple; et al. (IACR Commun. Cryptol., 2024)

Security Guidelines for Implementing Homomorphic Encryption. - Jean-Philippe Bossuat; Rosario Cammarota; Jung Hee Cheon; Ilaria Chillotti; Benjamin R. Curtis; Wei Dai 007; Huijing Gong; Erin Hales; Duhyeong Kim; Bryan Kumara; Changmin Lee 001; Xianhui Lu; et al. (IACR Cryptol. ePrint Arch., 2024)

GraSS: Graph-based Similarity Search on Encrypted Query. - Duhyeong Kim; Yujin Nam; Wen Wang 007; Huijing Gong; Ishwar Singh Bhati; Rosario Cammarota; Tajana Simunic Rosing; Mariano Tepper; Theodore L. Willke (IACR Cryptol. ePrint Arch., 2024)

Towards a Polynomial Instruction Based Compiler for Fully Homomorphic Encryption Accelerators. - Sejun Kim; Wen Wang 007; Duhyeong Kim; Adish Vartak; Michael Steiner 001; Rosario Cammarota (IACR Cryptol. ePrint Arch., 2024)

MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory. - Saransh Gupta; Rosario Cammarota; Tajana Simunic (ACM Trans. Embed. Comput. Syst., 2024)

GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI. - Joshua Kalyanapu; Farshad Dizani; Darsh Asher; Azam Ghanbari; Rosario Cammarota; Aydin Aysu; Samira Mirbagher Ajorpaz (CoRR, 2025)

State-of-the-Art ASCON ASIC Achieving 4.3 Gbps@0.8V and 3.5Tb/J@0.6V Outperforming AES by 25 Times. - Islam Elsadek; Elsayed Elgendy; Sherif Abouzeid; Ahmed Zaky Ghonem; John Ross Wallrabenstein; Erik MacLean; Douglas Gardner; Sohrab Aftabjahani; Rosario Cammarota; Eslam Yahya Tawfik (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)