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Rosario Cammarota

Ro Cammarota

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2020 – today

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2024
[j13]
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Saransh Gupta, Rosario Cammarota, Tajana Simunic:
MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory. ACM Trans. Embed. Comput. Syst. 23(2): 28:1-28:23 (2024)
[i21]
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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: 463 (2024)
[i20]
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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: 707 (2024)
2023
[c42]
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Anuj Dubey, Rosario Cammarota, Avinash Varna, Raghavan Kumar, Aydin Aysu:
Hardware-Software Co-design for Side-Channel Protected Neural Network Inference. HOST 2023: 155-166
[c41]
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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: 1-6
[c40]
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Rashmi Agrawal, Jung Ho Ahn, Flávio 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:
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application. WAHC@CCS 2023: 23-34
[i19]
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  - journals/corr/abs-2311-16293
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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 abs/2311.16293 (2023)
[i18]
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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: 163 (2023)
[i17]
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Rashmi Agrawal, Jung Ho Ahn, Flávio 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:
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application. IACR Cryptol. ePrint Arch. 2023: 1462 (2023)
2022
[j12]
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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): 47:1-47:22 (2022)
[j11]
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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): 56:1-56:31 (2022)
[j10]
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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): 506-556 (2022)
[c39]
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Rosario Cammarota:
Intel HERACLES: Homomorphic Encryption Revolutionary Accelerator with Correctness for Learning-oriented End-to-End Solutions. CCSW 2022: 3
[c38]
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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: 367-372
[c37]
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  - conf/isca/ZouCPKISCI22
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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: 656-669
[i16]
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  - journals/corr/abs-2204-12557
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Saransh Gupta, Rosario Cammarota, Tajana Rosing:
MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory. CoRR abs/2204.12557 (2022)
2021
[j9]
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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): 180-191 (2021)
[j8]
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Rosario Cammarota, Francesco Regazzoni:
Guest Editors' Introduction: Special Issue on Top Picks in Hardware and Embedded Security. IEEE Des. Test 38(3): 5-6 (2021)
[j7]
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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): 29:1-29:4 (2021)
[j6]
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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): 85:1-85:21 (2021)
[j5]
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Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography. J. Signal Process. Syst. 93(10): 1139-1148 (2021)
[c36]
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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: 1-4
[c35]
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Alejandro Hernández-Cano, Rosario Cammarota, Mohsen Imani:
PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. DAC 2021: 553-558
[c34]
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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: 38
[i15]
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  - journals/corr/abs-2109-00187
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Anuj Dubey, Rosario Cammarota, Vikram B. Suresh, Aydin Aysu:
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks. CoRR abs/2109.00187 (2021)
[i14]
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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: 1437 (2021)
2020
[j4]
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  - journals/tecs/NejatollahiVBRC20
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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): 11:1-11:17 (2020)
[c33]
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  - conf/IEEEares/BoemerCD0Y20
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Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame:
MP2ML: a mixed-protocol machine learning framework for private inference. ARES 2020: 14:1-14:10
[c32]
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Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame:
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. PPMLP@CCS 2020: 43-45
[c31]
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Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota:
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. PPMLP@CCS 2020: 65-67
[c30]
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Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni, Farinaz Koushanfar:
AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. DAC 2020: 1-6
[c29]
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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: 1-4
[c28]
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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: 1-6
[c27]
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Anuj Dubey, Rosario Cammarota, Aydin Aysu:
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection. HOST 2020: 197-208
[c26]
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Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. ICASSP 2020: 1539-1543
[c25]
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Anuj Dubey, Rosario Cammarota, Aydin Aysu:
BoMaNet: Boolean Masking of an Entire Neural Network. ICCAD 2020: 51:1-51:9
[i13]
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  - journals/corr/abs-2004-07213
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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 abs/2004.07213 (2020)
[i12]
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Anuj Dubey, Rosario Cammarota, Aydin Aysu:
BoMaNet: Boolean Masking of an Entire Neural Network. CoRR abs/2006.09532 (2020)
[i11]
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  - journals/corr/abs-2008-04449
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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 abs/2008.04449 (2020)
[i10]
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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: 276 (2020)
[i9]
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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: 721 (2020)
[i8]
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Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota:
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. IACR Cryptol. ePrint Arch. 2020: 1181 (2020)

2010 – 2019

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2019
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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): 129:1-129:41 (2019)
[c24]
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Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. WAHC@CCS 2019: 45-56
[c23]
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Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data. CF 2019: 3-13
[c22]
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Hamid Nejatollahi, Rosario Cammarota, Nikil D. Dutt:
Flexible NTT Accelerators for RLWE Lattice-Based Cryptography. ICCD 2019: 329-332
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Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni:
PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data. ICCD 2019: 333-336
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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: 7:1-7:11
[i7]
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Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. CoRR abs/1908.04172 (2019)
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Anuj Dubey, Rosario Cammarota, Aydin Aysu:
MaskedNet: A Pathway for Secure Inference against Power Side-Channel Attacks. CoRR abs/1910.13063 (2019)
[i5]
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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: 350 (2019)
[i4]
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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: 947 (2019)
[i3]
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Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. IACR Cryptol. ePrint Arch. 2019: 1297 (2019)
2018
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Rami Sheikh, Rosario Cammarota:
Improving Performance and Mitigating Fault Attacks Using Value Prediction. Cryptogr. 2(4): 27 (2018)
[c19]
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Rosario Cammarota, Rami Sheikh:
VPsec: countering fault attacks in general purpose microprocessors with value prediction. CF 2018: 191-199
[c18]
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Sandip Ray, Wen Chen, Rosario Cammarota:
Protecting the supply chain for automotives and IoTs. DAC 2018: 89:1-89:4
[c17]
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Rami Sheikh, Ro Cammarota, Wenjia Ruan:
Value prediction for security (VPsec): Countering fault attacks in modern microprocessors. HOST 2018: 235-238
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Rosario Cammarota, Indranil Banerjee, Ofer Rosenberg:
Machine learning IP protection. ICCAD 2018: 19
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Junjie Shen, Zhi Chen, Nahid Farhady Ghalaty, Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum:
New Opportunities for Compilers in Computer Security. LCPC 2018: 54-60
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Ro Cammarota, Naghmeh Karimi, Siddharth Garg, Jeyavijayan Rajendran:
Special session: Recent developments in hardware security. VTS 2018: 1
[i2]
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Hamid Nejatollahi, Nikil D. Dutt, Indranil Banerjee, Rosario Cammarota:
Domain-specific Accelerators for Ideal Lattice-based Public Key Protocols. IACR Cryptol. ePrint Arch. 2018: 608 (2018)
2017
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Hamid Nejatollahi, Nikil D. Dutt, Rosario Cammarota:
Trends, challenges and needs for lattice-based cryptography implementations: special session. CODES+ISSS 2017: 6:1-6:3
[c12]
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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: 57-64
[i1]
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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: 1083 (2017)
2016
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Aniket Shivam, Alexandru Nicolau, Alexander V. Veidenbaum, Mario Mango Furnari, Rosario Cammarota:
Polygonal Iteration Space Partitioning. LCPC 2016: 121-136
2015
[j1]
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Yizhuo Wang, Rosario Cammarota, Alexandru Nicolau:
Fault Tolerant Scheduling for Parallel Loops on Shared Memory Systems. J. Inf. Sci. Eng. 31(6): 1937-1959 (2015)
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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: 1-7
2014
[c9]
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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: 459-470
2013
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Rosario Cammarota, Laleh Aghababaie Beni, Alexandru Nicolau, Alexander V. Veidenbaum:
Optimizing Program Performance via Similarity, Using a Feature-Agnostic Approach. APPT 2013: 199-213
[c7]
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Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum, Arun Kejariwal, Debora Donato, Mukund Madhugiri:
On the Determination of Inlining Vectors for Program Optimization. CC 2013: 164-183
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Rosario Cammarota, Laleh Aghababaie Beni, Alexandru Nicolau, Alexander V. Veidenbaum:
Effective Evaluation of Multi-core Based Systems. ISPDC 2013: 19-25
2012
[c5]
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Rosario Cammarota, Arun Kejariwal, Debora Donato, Alexandru Nicolau, Alexander V. Veidenbaum:
Selective search of inlining vectors for program optimization. Conf. Computing Frontiers 2012: 257-260
[c4]
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Yizhuo Wang, Alexandru Nicolau, Rosario Cammarota, Alexander V. Veidenbaum:
A fault tolerant self-scheduling scheme for parallel loops on shared memory systems. HiPC 2012: 1-10
[c3]
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Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum:
Just in Time Load Balancing. LCPC 2012: 1-16
[c2]
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Nam Duong, Dali Zhao, Taesu Kim, Rosario Cammarota, Mateo Valero, Alexander V. Veidenbaum:
Improving Cache Management Policies Using Dynamic Reuse Distances. MICRO 2012: 389-400
2011
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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: 4

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