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Zahra Ghodsi
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2020 – today
- 2023
- [c12]Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen:
Characterizing and Optimizing End-to-End Systems for Private Inference. ASPLOS (3) 2023: 89-104 - [c11]Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar
:
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. DAC 2023: 1-6 - [c10]Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar:
AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. DAC 2023: 1-6 - [c9]Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang
zPROBE: Zero Peek Robustness Checks for Federated Learning. ICCV 2023: 4837-4847 - [i14]Ghada Almashaqbeh, Zahra Ghodsi:
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning. CoRR abs/2306.06825 (2023) - [i13]Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar:
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. CoRR abs/2309.06779 (2023) - 2022
- [j2]Minsu Cho, Zahra Ghodsi
Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. 20(5): 22-34 (2022) - [i12]Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
zPROBE: Zero Peek Robustness Checks for Federated Learning. CoRR abs/2206.12100 (2022) - [i11]Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen:
Characterizing and Optimizing End-to-End Systems for Private Inference. CoRR abs/2207.07177 (2022) - 2021
- [c8]Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen:
DeepReDuce: ReLU Reduction for Fast Private Inference. ICML 2021: 4839-4849 - [c7]Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro J. Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar:
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. IV 2021: 157-164 - [c6]Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg:
Circa: Stochastic ReLUs for Private Deep Learning. NeurIPS 2021: 2241-2252 - [i10]Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen:
DeepReDuce: ReLU Reduction for Fast Private Inference. CoRR abs/2103.01396 (2021) - [i9]Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro J. Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar:
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. CoRR abs/2103.07403 (2021) - [i8]Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg:
Circa: Stochastic ReLUs for Private Deep Learning. CoRR abs/2106.08475 (2021) - [i7]Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Sphynx: ReLU-Efficient Network Design for Private Inference. CoRR abs/2106.11755 (2021) - [i6]Karthik Garimella, Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen:
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale. CoRR abs/2111.02583 (2021) - 2020
- [j1]Jeff Zhang
Enabling Timing Error Resilience for Low-Power Systolic-Array Based Deep Learning Accelerators. IEEE Des. Test 37(2): 93-102 (2020) - [c5]Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg:
CryptoNAS: Private Inference on a ReLU Budget. NeurIPS 2020 - [c4]Maria I. Mera Collantes
SafeTPU: A Verifiably Secure Hardware Accelerator for Deep Neural Networks. VTS 2020: 1-6 - [i5]Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg:
CryptoNAS: Private Inference on a ReLU Budget. CoRR abs/2006.08733 (2020)
2010 – 2019
- 2018
- [c3]Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg:
Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators. DAC 2018: 19:1-19:6 - [i4]Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg:
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators. CoRR abs/1802.03806 (2018) - [i3]Siddharth Garg, Zahra Ghodsi, Carmit Hazay, Yuval Ishai, Antonio Marcedone, Muthuramakrishnan Venkitasubramaniam:
Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation. CoRR abs/1812.01372 (2018) - 2017
- [c2]Zahra Ghodsi, Siddharth Garg, Ramesh Karri
Optimal checkpointing for secure intermittently-powered IoT devices. ICCAD 2017: 376-383 - [c1]Zahra Ghodsi, Tianyu Gu, Siddharth Garg:
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud. NIPS 2017: 4672-4681 - [i2]Zahra Ghodsi, Tianyu Gu, Siddharth Garg:
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud. CoRR abs/1706.10268 (2017) - [i1]Zahra Ghodsi, Siddharth Garg, Ramesh Karri:
Optimal Checkpointing for Secure Intermittently-Powered IoT Devices. CoRR abs/1711.01454 (2017)
Coauthor Index
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