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08/02/2023
Training Data Protection with Compositional Diffusion Models
We introduce Compartmentalized Diffusion Models (CDM), a method to train...
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07/16/2023
Tangent Transformers for Composition, Privacy and Removal
We introduce Tangent Attention Fine-Tuning (TAFT), a method for fine-tun...
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04/25/2023
SAFE: Machine Unlearning With Shard Graphs
We present Synergy Aware Forgetting Ensemble (SAFE), a method to adapt l...
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11/23/2022
Integral Continual Learning Along the Tangent Vector Field of Tasks
We propose a continual learning method which incorporates information fr...
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07/01/2022
On Leave-One-Out Conditional Mutual Information For Generalization
We derive information theoretic generalization bounds for supervised lea...
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03/22/2022
Mixed Differential Privacy in Computer Vision
We introduce AdaMix, an adaptive differentially private algorithm for tr...
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06/25/2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers
We propose a method to estimate the uncertainty of the outcome of an ima...
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12/24/2020
Mixed-Privacy Forgetting in Deep Networks
We show that the influence of a subset of the training samples can be re...
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12/21/2020
LQF: Linear Quadratic Fine-Tuning
Classifiers that are linear in their parameters, and trained by optimizi...
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03/05/2020
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
We describe a procedure for removing dependency on a cohort of training ...
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11/12/2019
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Neural Networks
We explore the problem of selectively forgetting a particular set of dat...
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11/12/2019
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
We explore the problem of selectively forgetting a particular set of dat...
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05/30/2019
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
Regularization is typically understood as improving generalization by al...
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09/07/2018
Sparse Kernel PCA for Outlier Detection
In this paper, we propose a new method to perform Sparse Kernel Principa...
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02/22/2018
