Author

M. Conti

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2026

ImConDM: Accurate MTS Anomaly Detection Integrating Imputation With Conditional Diffusion Models

Multivariate Time Series (MTS) anomaly detection is critical for various applications. Yet, most existing methods rely on forecasting or reconstruction-based frameworks, which suffer from inherent uncertainties in handling complex MTS data. The recently emerging imputation-based anomaly detection leverages partial obse...

Yan Qiao, Junjie Wang, Min-Yue Li et al. · IEEE Transactions on Informa... · 0 citations

#artificial intelligence Preprint Aug 2026

Does Reasoning Mitigate Backdoor Attacks? A Neuro-Symbolic Perspective

This paper claims that an in-depth investigation of the adversarial robustness of NeSy models is necessary and provides the first systematic evaluation of backdoor attacks against NeSy, and shows that while NeSy models are indeed more robust than their neural counterpart on average, their robustness vastly depend on th...

Marco Antonio Corallo, Andrea Agiollo, Mauro Conti et al. · 0 citations