Hamid Nasiri

2 papers indexed

arxivcs.LG2026-07-22

Adaptive Confidence-weighted Expansion for Trustworthy Multi-Omics Multimodal Fusion

Mohammad Raahemi, Ali Sekhavati, Alireza Maleki, Hamid Nasiri

Multimodal learning is a robust approach to improve predictive performance in applications such as medical prognosis. However, the clinical applicability of models that use multimodal learning is hampered by their poor performance under noisy or uninformative data streams. Presen…

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arxivcs.LGcs.AIcs.CR2026-07-02

kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail

Mahmoud Abdelfattah, Hamid Nasiri, Peter Garraghan

Large language models (LLMs) are increasingly deployed in domains requiring guardrails to detect unsafe, off-topic, or adversarial prompts. Existing guardrails predominantly rely on fine-tuning to build classifiers, which often suffer from low generalization and high inference la…

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