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Professor Jeff Orchard and third-year undergraduate computer science student Louis Castricato received a best paper award at the (ICONIP 2017) for their paper titled “Combating adversarial inputs using a predictive-estimator network.”

The conference was held in Guangzhou, China from November 14–18, 2017, and provided an international forum for scientists, researchers, educators, industrial professionals and students to present research results, address new challenges, and discuss trends in neural information processing and applications.

In total, 856 papers were submitted from 3,255 authors across 56 countries and regions. Of these, . Orchard and Castricato’s paper was accepted for oral presentation and selected from a shortlist as one of three submissions to be awarded best paper by the conference’s general and award chairs. The recognition consists of a certificate and a $500 USD award.

“Congratulations to Jeff and his student Louis for winning a best paper award at ICONIP 2017,” said Mark Giesbrecht, Director of the David R. Cheriton School of Computer Science.

“This is an important achievement for both and especially so for an undergraduate computer science student.”