Zahra Ghodsi

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 28

Top Topics

Energy Efficient

Inference Process

Top Venues

Publications

Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar
AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. DAC (2023)
Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. DAC (2023)
Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen
Characterizing and Optimizing End-to-End Systems for Private Inference. ASPLOS (3) (2023)
Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
zPROBE: Zero Peek Robustness Checks for Federated Learning. ICCV (2023)
Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. CoRR (2023)
Ghada Almashaqbeh, Zahra Ghodsi
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning. CoRR (2023)
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. 20 (5) (2022)
Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
zPROBE: Zero Peek Robustness Checks for Federated Learning. CoRR (2022)
Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen
Characterizing and Optimizing End-to-End Systems for Private Inference. CoRR (2022)
Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg
Circa: Stochastic ReLUs for Private Deep Learning. NeurIPS (2021)
Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen
DeepReDuce: ReLU Reduction for Fast Private Inference. ICML (2021)
Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen
DeepReDuce: ReLU Reduction for Fast Private Inference. CoRR (2021)
Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. CoRR (2021)
Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. IV (2021)
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Sphynx: ReLU-Efficient Network Design for Private Inference. CoRR (2021)
Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg
Circa: Stochastic ReLUs for Private Deep Learning. CoRR (2021)
Karthik Garimella, Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale. CoRR (2021)
Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg
CryptoNAS: Private Inference on a ReLU Budget. NeurIPS (2020)
Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg
CryptoNAS: Private Inference on a ReLU Budget. CoRR (2020)
Jeff Zhang, Zahra Ghodsi, Siddharth Garg, Kartheek Rangineni
Enabling Timing Error Resilience for Low-Power Systolic-Array Based Deep Learning Accelerators. IEEE Des. Test 37 (2) (2020)
Maria I. Mera Collantes, Zahra Ghodsi, Siddharth Garg
SafeTPU: A Verifiably Secure Hardware Accelerator for Deep Neural Networks. VTS (2020)
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)
Siddharth Garg, Zahra Ghodsi, Carmit Hazay, Yuval Ishai, Antonio Marcedone, Muthuramakrishnan Venkitasubramaniam
Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation. CoRR (2018)
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 (2018)
Zahra Ghodsi, Tianyu Gu, Siddharth Garg
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud. NIPS (2017)
Zahra Ghodsi, Tianyu Gu, Siddharth Garg
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud. CoRR (2017)
Zahra Ghodsi, Siddharth Garg, Ramesh Karri
Optimal checkpointing for secure intermittently-powered IoT devices. ICCAD (2017)
Zahra Ghodsi, Siddharth Garg, Ramesh Karri
Optimal Checkpointing for Secure Intermittently-Powered IoT Devices. CoRR (2017)