Work-in-Progress: Identifying Weight Surgery Attacks in Siamese Networks

BIO

Harun Khan is a master’s student in computer science at the University of Kansas and a research intern at Sandia National Laboratories. His research focuses on machine learning security and privacy, with particular interests in machine unlearning, membership inference attacks, and related areas of trustworthy machine learning.

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