56 citations · 99 across the 17 of their papers we have counts for
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cs.CR2017★ 1 cited
Protecting Genomic Privacy by a Sequence-Similarity Based Obfuscation Method
Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung
In the post-genomic era, large-scale personal DNA sequences are produced and collected for genetic medical diagnoses and new drug discovery, which, however, simultaneously poses se…
cs.CR2017★ 1 cited
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning
Artur Filipowicz, Thee Chanyaswad, S. Y. Kung
The quest for better data analysis and artificial intelligence has lead to more and more data being collected and stored. As a consequence, more data are exposed to malicious entit…