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08/28/2023
Identifying and Mitigating the Security Risks of Generative AI
Every major technical invention resurfaces the dual-use dilemma – the ne...
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11/26/2022
Towards Better Input Masking for Convolutional Neural Networks
The ability to remove features from the input of machine learning models...
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06/05/2022
Interpretable Mixture of Experts for Structured Data
With the growth of machine learning for structured data, the need for re...
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12/09/2021
Mutual Adversarial Training: Learning together is better than going alone
Recent studies have shown that robustness to adversarial attacks can be ...
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10/08/2021
Causal ImageNet: How to discover spurious features in Deep Learning?
A key reason for the lack of reliability of deep neural networks in the ...
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08/05/2021
Householder Activations for Provable Robustness against Adversarial Attacks
Training convolutional neural networks (CNNs) with a strict Lipschitz co...
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06/25/2020
Influence Functions in Deep Learning Are Fragile
Influence functions approximate the effect of training samples in test-t...
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03/02/2020
