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06/14/2023
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness
Machine learning models are susceptible to a variety of attacks that can...
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06/07/2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
We systematically study a wide variety of image-based generative models ...
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11/30/2022
Denoising Deep Generative Models
Likelihood-based deep generative models have recently been shown to exhi...
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10/12/2022
Find Your Friends: Personalized Federated Learning with the Right Collaborators
In the traditional federated learning setting, a central server coordina...
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07/06/2022
The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling
Deep learning has had tremendous success at learning low-dimensional rep...
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06/22/2022
Neural Implicit Manifold Learning for Topology-Aware Generative Modelling
Natural data observed in ℝ^n is often constrained to an m-dimensional ma...
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06/15/2022
Disparate Impact in Differential Privacy from Gradient Misalignment
As machine learning becomes more widespread throughout society, aspects ...
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04/14/2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Likelihood-based, or explicit, deep generative models use neural network...
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06/09/2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
Normalizing flows are generative models that provide tractable density e...
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11/24/2020
