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Hark: A Deep Learning System for Navigating Privacy Feedback at Scale
Hark automates the entire process of summarizing privacy feedback, starting from unstructured text and resulting in a hierarchy of high-level privacy themes and fine-grained issues within each theme, along with representative reviews for each issue.
H. Harkous
,
S. T. Peddinti
,
R. Khandelwal
,
Animesh Srivastava
,
N. Taft
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ePrivateeye: to the edge and beyond!
In this work, we present experimental results that utilize our campus Software-Defined Networking infrastructure to characterize how network-path latency, packet loss, and geographic distance impact offloading to the edge.
C. Streiffer
,
Animesh Srivastava
,
V. Orlikowski
,
Y. Velasco
,
V. Martin
,
N. Raval
,
A. Machanavajjhala
,
L. P. Cox
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