FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models-Reference-Cited by-同舟云学术

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FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models

Published:2024-05-19 Issue: Volume:523 Page:2939-2957
ISSN:
Container-title:2024 IEEE Symposium on Security and Privacy (SP)
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Author:

Wang Yanting¹,Zou Wei¹,Jia Jinyuan¹

Affiliation:

1. The Pennsylvania State University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10646615/10646598/10646639.pdf?arnumber=10646639

Reference85 articles.

1. Learning transferable visual models from natural language supervision;Radford

2. On the opportunities and risks of foundation models;Bommasani,2021

3. Segment Anything

4. Dinov2: Learning robust visual features without supervision;Oquab,2023

5. Prototypical networks for few-shot learning;Snell

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