Work

Proactive Disentangled Modeling of Trigger–Object Pairings for Backdoor Defense

Year: 2025

Type: article

Abstract: Deep neural networks (DNNs) and generative AI (GenAI) are increasingly vulnerable to backdoor attacks, where adversaries embed triggers into inputs to cause models to misclassify or misinterpret target labels. Beyond traditio... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.068201

Authors: Kyle Stein, Andrew A. Mahyari, Guillermo Francia III, Eman El-Sheikh

Institutions: Florida Institute for Human and Machine Cognition, University of West Florida

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Science Foundation

Award: Argo Cyber Emerging Scholars (ACES): Developing a Cybersecurity Community of Practice