Rosario Cammarota
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
15
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICRO | GateBleed: Exploiting On-Core Accelerator Power Gating for High Performance and Stealthy Attacks on AI. | Joshua Kalyanapu, Farshad Dizani, Darsh Asher, Azam Ghanbari, Rosario Cammarota, Aydin Aysu, Samira Mirbagher Ajorpaz |
| 2024 | MICRO | 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 |
| 2023 | ISLPED | 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 |
| 2022 | DAC | Adaptive neural recovery for highly robust brain-like representation. | Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani |
| 2022 | ISCA | 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 |
| 2021 | DAC | Invited: Security Beyond Bulk Silicon: Opportunities and Challenges of Emerging Devices. | Lejla Batina, Rosario Cammarota, Nele Mentens, Ahmad-Reza Sadeghi, Johanna Seplveda, Shaza Zeitouni |
| 2021 | DAC | PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. | Alejandro Hernndez-Cano, Rosario Cammarota, Mohsen Imani |
| 2021 | SC | Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. | Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani |
| 2020 | CCS | MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. | Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame |
| 2020 | CCS | TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. | Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota |
| 2020 | DAC | AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. | Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni, Farinaz Koushanfar |
| 2020 | DAC | Developing Privacy-preserving AI Systems: The Lessons learned. | Huili Chen, Siam Umar Hussain, Fabian Boemer, Emmanuel Stapf, Ahmad-Reza Sadeghi, Farinaz Koushanfar, Rosario Cammarota |
| 2020 | DAC | CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. | Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt |
| 2020 | ICASSP | Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. | Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt |
| 2020 | ICCAD | BoMaNet: Boolean Masking of an Entire Neural Network. | Anuj Dubey, Rosario Cammarota, Aydin Aysu |
| 2019 | CCS | nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. | Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski |
| 2019 | ICCD | PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data. | Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni |
| 2019 | ICCD | Flexible NTT Accelerators for RLWE Lattice-Based Cryptography. | Hamid Nejatollahi, Rosario Cammarota, Nikil D. Dutt |
| 2019 | ICPP | 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 |
| 2018 | DAC | Protecting the supply chain for automotives and IoTs. | Sandip Ray, Wen Chen, Rosario Cammarota |
| 2018 | ICCAD | Machine learning IP protection. | Rosario Cammarota, Indranil Banerjee, Ofer Rosenberg |
| 2017 | FDTC | 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 |
| 2014 | NPC | 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 |
| 2013 | CC | On the Determination of Inlining Vectors for Program Optimization. | Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum, Arun Kejariwal, Debora Donato, Mukund Madhugiri |
| 2013 | ISPDC | Effective Evaluation of Multi-core Based Systems. | Rosario Cammarota, Laleh Aghababaie Beni, Alexandru Nicolau, Alexander V. Veidenbaum |
| 2012 | HiPC | A fault tolerant self-scheduling scheme for parallel loops on shared memory systems. | Yizhuo Wang, Alexandru Nicolau, Rosario Cammarota, Alexander V. Veidenbaum |
| 2012 | MICRO | Improving Cache Management Policies Using Dynamic Reuse Distances. | Nam Duong, Dali Zhao, Taesu Kim, Rosario Cammarota, Mateo Valero, Alexander V. Veidenbaum |