| Don’t generate me: Training differentially private generative models with sinkhorn divergence T Cao, A Bie, A Vahdat, S Fidler, K Kreis Advances in Neural Information Processing Systems 34, 12480-12492, 2021 | 80 | 2021 |
| Private estimation with public data A Bie, G Kamath, V Singhal Advances in Neural Information Processing Systems 35, 18653-18666, 2022 | 42 | 2022 |
| Fully quantizing Transformer-based ASR for edge deployment A Bie, B Venkitesh, J Monteiro, MA Haidar, M Rezagholizadeh ICLR 2021 Workshop on Hardware Aware Efficient Training, 2021 | 34* | 2021 |
| Private distribution learning with public data: The view from sample compression S Ben-David, A Bie, CL Canonne, G Kamath, V Singhal Advances in Neural Information Processing Systems 36, 7184-7215, 2023 | 18 | 2023 |
| Private GANs, Revisited A Bie, G Kamath, G Zhang arXiv preprint arXiv:2302.02936, 2023 | 17 | 2023 |
| Parametric Feature Transfer: One-shot Federated Learning with Foundation Models M Beitollahi, A Bie, S Hemati, LM Brunswic, X Li, X Chen, G Zhang arXiv preprint arXiv:2402.01862, 2024 | 6 | 2024 |
| Distribution learnability and robustness S Ben-David, A Bie, G Kamath, T Lechner Advances in Neural Information Processing Systems 36, 52732-52758, 2023 | 4 | 2023 |
| Understanding the Role of Layer Normalization in Label-Skewed Federated Learning G Zhang, M Beitollahi, A Bie, X Chen Transactions on Machine Learning Research, 2024 | 3* | 2024 |
| Private prediction for large-scale synthetic text generation K Amin, A Bie, W Kong, A Kurakin, N Ponomareva, U Syed, A Terzis, ... arXiv preprint arXiv:2407.12108, 2024 | 2 | 2024 |
| Escaping Collapse: The Strength of Weak Data for Large Language Model Training K Amin, S Babakniya, A Bie, W Kong, U Syed, S Vassilvitskii arXiv preprint arXiv:2502.08924, 2025 | | 2025 |
| RenderAttack: Hundreds of Adversarial Attacks Through Differentiable Texture Generation D Hazra, A Bie, M Mazeika, X Yin, A Zou, D Hendrycks, M Kaufmann The Third Workshop on New Frontiers in Adversarial Machine Learning, 2024 | | 2024 |
| Methods and systems for federated learning using feature normalization G Zhang, A Bie, M Beitollahi, XI Chen US Patent App. 18/182,744, 2024 | | 2024 |
| Private Distribution Learning with Public Data A Bie University of Waterloo, 2024 | | 2024 |
| Differential privacy dataset generation using generative models T Cao, A Bie, KJ Kreis, S Fidler, A Vahdat US Patent 11,847,538, 2023 | | 2023 |