ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense

ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense

K-Nearest Neighbor (kNN)-based deep learning methods have been applied to many applications due to their simplicity and geometric interpretability. However, the robustness of kNN-based deep classification models has not been thoroughly explored and kNN attack strategies are underdeveloped. In this p...

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Bibliographic Details
Main Authors: Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred O. Hero
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
K-nearest neighbor
adversarial soft kNN
ASK-attack
ASK-defense
Online Access:https://ieeexplore.ieee.org/document/9902964/

Internet

https://ieeexplore.ieee.org/document/9902964/

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