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Deep K-NN Defense against Clean-Label Data Poisoning Attacks

Published in ECCVW - Adversarial Robustness in the Real World, 2020

Recommended Citation: Peri N, Gupta N, Huang WR, Fowl L, Zhu C, Feizi S, Goldstein T, Dickerson JP. Deep k-NN Defense against Clean-Label Data Poisoning Attacks. In: European Conference on Computer Vision Workshops, ECCVW (2020)

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teaching

Undergraduate Teaching Fellow (Spring 2019)

ENEE 244: Introduction to Digital Logic, ECE Department, 2019

  • Led recitation for a discussion section of 15 students
  • Received highest marks on metrics of preparedness, respect for students, and overall teaching effectiveness from all students