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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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06/01/2022
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models
Previous works show that deep NLP models are not always conceptually sou...
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05/24/2022
Faithful Explanations for Deep Graph Models
This paper studies faithful explanations for Graph Neural Networks (GNNs...
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10/06/2021
Consistent Counterfactuals for Deep Models
Counterfactual examples are one of the most commonly-cited methods for e...
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03/20/2021
Boundary Attributions Provide Normal (Vector) Explanations
Recent work on explaining Deep Neural Networks (DNNs) focuses on attribu...
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11/02/2020
Abstracting Influence Paths for Explaining (Contextualization of) BERT Models
While "attention is all you need" may be proving true, we do not yet kno...
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09/17/2020
Towards Behavior-Level Explanation for Deep Reinforcement Learning
While Deep Neural Networks (DNNs) are becoming the state-of-the-art for ...
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06/14/2020
Fairness Under Feature Exemptions: Counterfactual and Observational Measures
With the growing use of AI in highly consequential domains, the quantifi...
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06/11/2020
Smoothed Geometry for Robust Attribution
Feature attributions are a popular tool for explaining the behavior of D...
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05/03/2020
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models
LSTM-based recurrent neural networks are the state-of-the-art for many n...
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02/19/2020
Interpreting Interpretations: Organizing Attribution Methods by Criteria
Attribution methods that explains the behaviour of machine learning mode...
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12/21/2018
Feature-Wise Bias Amplification
We study the phenomenon of bias amplification in classifiers, wherein a ...
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10/16/2018
Hunting for Discriminatory Proxies in Linear Regression Models
A machine learning model may exhibit discrimination when used to make de...
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08/06/2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together
Privacy and nondiscrimination are related but different. We make this ob...
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07/31/2018
Gender Bias in Neural Natural Language Processing
We examine whether neural natural language processing (NLP) systems refl...
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03/28/2018
Supervising Feature Influence
Causal influence measures for machine learnt classifiers shed light on t...
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02/11/2018
Influence-Directed Explanations for Deep Convolutional Networks
We study the problem of explaining a rich class of behavioral properties...
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11/29/2017
Latent Factor Interpretations for Collaborative Filtering
Many machine learning systems utilize latent factors as internal represe...
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09/27/2017