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Capacity Overflow: A Blind Spot for Backdoor Attacks in Vision MoE

Year: 2026

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-032-37174-4_2

Authors: Xiaocheng Zou, Tiancheng Zheng, Xiaolin Xu, Ruyi Ding

Institutions: Northeastern University, Louisiana State University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Science Foundation

Awards: CICI:TCR:CAREFREE:Cloud infrAstructure ResiliencE of the Future foR tEstbeds, accelerators and nEtworks, Collaborative Research: SaTC: CORE: Small: Securing Brain-inspired Hyperdimensional Computing against Design-time and Run-time Attacks for Edge Devices, Collaborative Research: SaTC: CORE: Medium: Accelerating Privacy-Preserving Machine Learning as a Service: From Algorithm to Hardware, CAREER: Securing Reconfigurable Hardware Accelerator for Machine Learning: Threats and Defenses, Collaborative Research: SaTC: CORE: Small: Secure and Robust Machine Learning in Multi-Tenant Cloud FPGA

OpenAlex ID: W7204440724

FWCI:

Cites: 30

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Related to: 10