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AI-Shielder: Exploiting Backdoors to Defend Against Adversarial Attacks

Year: 2025

Type: article

Source: IEEE Transactions on Dependable and Secure Computing

DOI: 10.1109/tdsc.2025.3612270

Authors: Hong Zhu, Shengzhi Zhang, Kai Chen

Institutions: Shandong University, Boston University, Chinese Academy of Sciences, Institute of Information Engineering

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Shandong Province

Awards: G1378608539, G1900487944, G2363194220, G4154949110, G5541525046, G8081072183, G8872547108

OpenAlex ID: W4414603391

FWCI:

Cites: 38

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