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01/27/2021
Towards Robustness to Label Noise in Text Classification via Noise Modeling
Large datasets in NLP suffer from noisy labels, due to erroneous automat...
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11/15/2020
Towards Compliant Data Management Systems for Healthcare ML
The increasing popularity of machine learning approaches and the rising ...
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06/11/2020
Backdoors in Neural Models of Source Code
Deep neural networks are vulnerable to a range of adversaries. A particu...
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05/08/2020
Advances in Quantum Deep Learning: An Overview
The last few decades have seen significant breakthroughs in the fields o...
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04/04/2020
BAE: BERT-based Adversarial Examples for Text Classification
Modern text classification models are susceptible to adversarial example...
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02/07/2020
Semantic Robustness of Models of Source Code
Deep neural networks are vulnerable to adversarial examples - small inpu...
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09/30/2019
Synthesizing Action Sequences for Modifying Model Decisions
When a model makes a consequential decision, e.g., denying someone a loa...
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01/10/2019
