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05/10/2023
Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models
We propose a novel approach for developing privacy-preserving large-scal...
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03/01/2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy
ML models are ubiquitous in real world applications and are a constant f...
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06/08/2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
We extend semi-supervised learning to the problem of domain adaptation t...
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01/21/2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Semi-supervised learning (SSL) provides an effective means of leveraging...
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11/21/2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
We improve the recently-proposed "MixMatch" semi-supervised learning alg...
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09/03/2019
High-Fidelity Extraction of Neural Network Models
Model extraction allows an adversary to steal a copy of a remotely deplo...
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02/22/2018
Adversarial Examples that Fool both Human and Computer Vision
Machine learning models are vulnerable to adversarial examples: small ch...
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03/03/2017