Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study
Author:
Affiliation:
1. Virginia Tech
2. Washington University in St. Louis
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378100.pdf?arnumber=10378100
Reference38 articles.
1. Deep Learning with Differential Privacy
2. On the opportunities and risks of foundation models;Bommasani,2021
3. Membership Inference Attacks From First Principles
4. Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
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1. A Survey on Safe Multi-Modal Learning Systems;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24
2. DP-GSGLD: A Bayesian optimizer inspired by differential privacy defending against privacy leakage in federated learning;Computers & Security;2024-07
3. Privacy-Aware Document Visual Question Answering;Lecture Notes in Computer Science;2024
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