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10/06/2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
Recent success in fine-tuning large models, that are pretrained on broad...
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12/08/2021
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
As a seminal tool in self-supervised representation learning, contrastiv...
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10/13/2020
Higher-Order Certification for Randomized Smoothing
Randomized smoothing is a recently proposed defense against adversarial ...
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03/02/2020
Rethinking Randomized Smoothing for Adversarial Robustness
The fragility of modern machine learning models has drawn a considerable...
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12/19/2019
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations
Verifying robustness of neural networks given a specified threat model i...
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11/25/2017