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Zahra Ghodsi
Zahra Ghodsi
Assistant Professor of Electrical and Computer Engineering, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Safetynets: Verifiable execution of deep neural networks on an untrusted cloud
Z Ghodsi, T Gu, S Garg
31st Conference on Neural Information Processing Systems (NIPS 2017), 2017
1242017
Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators
J Zhang, K Rangineni, Z Ghodsi, S Garg
Proceedings of the 55th Annual Design Automation Conference, 19, 2018
1222018
Cryptonas: Private inference on a relu budget
Z Ghodsi, A Veldanda, B Reagen, S Garg
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
392020
DeepReDuce: Relu reduction for fast private inference
NK Jha, Z Ghodsi, S Garg, B Reagen
International Conference on Machine Learning, 4839-4849, 2021
292021
Optimal checkpointing for secure intermittently-powered IoT devices
Z Ghodsi, S Garg, R Karri
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 376-383, 2017
222017
Circa: Stochastic relus for private deep learning
Z Ghodsi, NK Jha, B Reagen, S Garg
Advances in Neural Information Processing Systems 34, 2241-2252, 2021
122021
Generating and characterizing scenarios for safety testing of autonomous vehicles
Z Ghodsi, SKS Hari, I Frosio, T Tsai, A Troccoli, SW Keckler, S Garg, ...
2021 IEEE Intelligent Vehicles Symposium (IV), 157-164, 2021
122021
Enabling timing error resilience for low-power systolic-array based deep learning accelerators
J Zhang, Z Ghodsi, S Garg, K Rangineni
IEEE Design & Test 37 (2), 93-102, 2019
122019
Safetpu: A verifiably secure hardware accelerator for deep neural networks
MIM Collantes, Z Ghodsi, S Garg
2020 IEEE 38th VLSI Test Symposium (VTS), 1-6, 2020
92020
Sphynx: A Deep Neural Network Design for Private Inference
M Cho, Z Ghodsi, B Reagen, S Garg, C Hegde
IEEE Security & Privacy 20 (5), 22-34, 2022
82022
Outsourcing private machine learning via lightweight secure arithmetic computation
S Garg, Z Ghodsi, C Hazay, Y Ishai, A Marcedone, ...
arXiv preprint arXiv:1812.01372, 2018
42018
Characterizing and optimizing end-to-end systems for private inference
K Garimella, Z Ghodsi, NK Jha, S Garg, B Reagen
arXiv preprint arXiv:2207.07177, 2022
22022
Cryptonite: Revealing the pitfalls of end-to-end private inference at scale
K Garimella, NK Jha, Z Ghodsi, S Garg, B Reagen
arXiv preprint arXiv:2111.02583, 2021
12021
Secure Frameworks for Outsourced Deep Learning Inference
Z Ghodsi
New York University Tandon School of Engineering, 2021
12021
Adversarial scenarios for safety testing of autonomous vehicles
SKS Hari, I Frosio, Z Ghodsi, A Anandkumar, T Tsai, SW Keckler, ...
US Patent 11,550,325, 2023
2023
Tensor-based driving scenario characterization
SKS Hari, I Frosio, Z Ghodsi, A Anandkumar, T Tsai, SW Keckler
US Patent 11,390,301, 2022
2022
zPROBE: Zero Peek Robustness Checks for Federated Learning
Z Ghodsi, M Javaheripi, N Sheybani, X Zhang, K Huang, F Koushanfar
arXiv preprint arXiv:2206.12100, 2022
2022
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