MLSP-L29.3

DCINJECT: PERSISTENT BACKDOOR ATTACKS VIA FREQUENCY MANIPULATION IN PERSONAL FEDERATED LEARNING

Nahom Birhan, Old Dominion University, United States of America; Daniel Wesego, university of Illinois Chicago, United States of America; Dereje Shenkut, Carnegie Mellon University, United States of America; Frank Liu, Daniel Takabi, Old Dominion University, United States of America

Session:
MLSP-L29: Adversarial ML – Adversarial ML Oral

Track:
Machine Learning for Signal Processing [ML]

Location:
Room 112

Presentation Time:
Fri, 8 May, 09:40 - 10:00

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