  State-of-the-art important passage retrieval methods obtain very good
results, but do not take into account privacy issues. In this paper, we present
a privacy preserving method that relies on creating secure representations of
documents. Our approach allows for third parties to retrieve important passages
from documents without learning anything regarding their content. We use a
hashing scheme known as Secure Binary Embeddings to convert a key phrase and
bag-of-words representation to bit strings in a way that allows the computation
of approximate distances, instead of exact ones. Experiments show that our
secure system yield similar results to its non-private counterpart on both
clean text and noisy speech recognized text.
