491 citations · 1k across the 20 of their papers we have counts for
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Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park, Anas Awadalla, Tadayoshi Kohno +1
Unpredictable ML model behavior on unseen data, especially in the health domain, raises serious concerns about its safety as repercussions for mistakes can be fatal. In this paper,…
Disrupting Model Training with Adversarial Shortcuts
Ivan Evtimov, Ian Covert, Aditya Kusupati +1
When data is publicly released for human consumption, it is unclear how to prevent its unauthorized usage for machine learning purposes. Successful model training may be preventabl…
Understanding Privacy Attitudes and Concerns Towards Remote Communications During the COVID-19 Pandemic
Pardis Emami-Naeini, Tiona Francisco, Tadayoshi Kohno +1
Since December 2019, the COVID-19 pandemic has caused people around the world to exercise social distancing, which has led to an abrupt rise in the adoption of remote communication…