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08/21/2023
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
Neuro-symbolic hybrid systems are promising for integrating machine lear...
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06/17/2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
Deep neural networks usually perform poorly when the training dataset su...
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01/31/2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
Adversarial training, originally designed to resist test-time adversaria...
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06/21/2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Learning with noisy labels is a practically challenging problem in weakl...
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03/27/2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
In addition to high accuracy, robustness is becoming increasingly import...
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02/09/2021
Provable Defense Against Delusive Poisoning
Delusive poisoning is a special kind of attack to obstruct learning, whe...
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12/29/2020
With False Friends Like These, Who Can Have Self-Knowledge?
Adversarial examples arise from excessive sensitivity of a model. Common...
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08/12/2019