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Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...
Tamp-X: Attacking explainable natural language classifiers through tampered activations
(
Elsevier
, 2022 , Article)
While the technique of Deep Neural Networks (DNNs) has been instrumental in achieving state-of-the-art results for various Natural Language Processing (NLP) tasks, recent works have shown that the decisions made by DNNs ...