Author

Daniel Takabi

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Conference Sep 2026

SemCom-UAP: Universal Adversarial Perturbations Against Cross-Modal Retrieval in Semantic Communications

Semantic communication (SemCom) systems based on vision-language pre-training (VLP) models transmit compact embeddings for downstream tasks such as cross-modal retrieval, but also introduce new vulnerabilities to universal adversarial perturbations (UAPs). Existing VLP-targeted UAP methods typically assume noise-free t...

Zi-Yu Wang, Yi-Ming Du, Jian Li et al. · IEEE Conference on Communica... · 0 citations

Preprint Jul 2026

Input-Aware Dynamic Backdoor Attack Against Quantum Neural Networks

Experiments show that Q-DIBA achieves high clean accuracy, strong attack success, and high cross-trigger accuracy, suggesting effectiveness, stealthiness, and input specificity, suggesting that input-aware quantum backdoors are an important threat to secure QNN deployment.

Junrui Zhang, Zemin Chen, Lusi Li et al. · 0 citations