| 2025 | CCS | Sentry: Authenticating Machine Learning Artifacts on the Fly. | Andrew Gan, Zahra Ghodsi |
| 2023 | ASPLOS | Characterizing and Optimizing End-to-End Systems for Private Inference. | Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen |
| 2023 | DAC | ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. | Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar |
| 2023 | DAC | AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. | Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar |
| 2023 | ICCV | zPROBE: Zero Peek Robustness Checks for Federated Learning. | Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar |
| 2021 | ICML | DeepReDuce: ReLU Reduction for Fast Private Inference. | Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen |
| 2020 | VTS | SafeTPU: A Verifiably Secure Hardware Accelerator for Deep Neural Networks. | Maria I. Mera Collantes, Zahra Ghodsi, Siddharth Garg |
| 2018 | DAC | Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators. | Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg |
| 2017 | ICCAD | Optimal checkpointing for secure intermittently-powered IoT devices. | Zahra Ghodsi, Siddharth Garg, Ramesh Karri |