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02/12/2023
Rapid Development of Compositional AI
Compositional AI systems, which combine multiple artificial intelligence...
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06/13/2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Current deep neural networks (DNNs) are vulnerable to adversarial attack...
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11/01/2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Contrastive learning (CL) can learn generalizable feature representation...
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03/18/2021
Generating Adversarial Computer Programs using Optimized Obfuscations
Machine learning (ML) models that learn and predict properties of comput...
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02/01/2021
Fast Training of Provably Robust Neural Networks by SingleProp
Recent works have developed several methods of defending neural networks...
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07/31/2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
When the training data are maliciously tampered, the predictions of the ...
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06/26/2020
Proper Network Interpretability Helps Adversarial Robustness in Classification
Recent works have empirically shown that there exist adversarial example...
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10/18/2019
Reflecting After Learning for Understanding
Today, image classification is a common way for systems to process visua...
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10/18/2019
Evading Real-Time Person Detectors by Adversarial T-shirt
It is known that deep neural networks (DNNs) could be vulnerable to adve...
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04/03/2019
