Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning-Reference-Cited by-同舟云学术

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Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning

Published:2024 Issue: Volume:19 Page:2412-2424
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Chen Jian¹^ORCID,Gao Yuan²,Liu Gaoyang²^ORCID,Abdelmoniem Ahmed M.³^ORCID,Wang Chen²^ORCID

Affiliation:

1. Hubei Key Laboratory of Smart Internet Technology, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

2. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

3. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.

Funder

National Natural Science Foundation of China

Key Research and Development Program of Hubei Province

Special Fund for Wuhan Artificial Intelligence Innovation

Special Fund for Wuhan Yellow Crane Talents

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10381885.pdf?arnumber=10381885

Reference56 articles.

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

2. Twin Contrastive Learning with Noisy Labels

3. Contrastive Learning with Stronger Augmentations

4. SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos

5. Learning Temporal Similarity of Remote Photoplethysmography for Fast 3D Mask Face Presentation Attack Detection

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