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How to Watermark the RLWE Homomorphic Ciphertexts
This paper addresses the novel problem of embedding digital watermarks into RLWE-based homomorphic encryption (HE) ciphertexts to enable copyright.
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MyoCardBench: A Real-World Data Benchmark for Evaluating Large Language Models in Clinically Authentic Cardiovascular Care Scenarios
MyoCardBench addresses a critical gap in evaluating medical large language models (LLMs) by providing a comprehensive, real-world benchmark spanning the.
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TraceCoder: Explainable and Auditable Code Generation with Position-Key Snippet Versioning
TraceCoder addresses a major opacity problem in LLM-based code generation agents: the lack of fine-grained, auditable traceability of code evolution.
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Characterizing and Mitigating the Effects of Device Temperature on RF Fingerprinting Accuracy
Radio Frequency Fingerprinting (RFFP) methods leverage hardware-induced signal impairments to uniquely identify wireless devices.
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ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
ClinFusion addresses critical limitations in applying multimodal large language models (MLLMs) to clinical settings by focusing on a vision-centric.
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Co-Learning for Missing Arbitrary Modalities in Multi-modal Classification
This paper tackles the challenge of multi-modal classification when an arbitrary subset of input modalities may be missing at inference time—a common.
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Data Pyramid for Embodied Manipulation
This work addresses the critical question of data sourcing for embodied foundation models, which require richly annotated, physically grounded data.
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Density-Robust Spherical Coordinates from Persistent Cohomology
This paper addresses a key limitation in topological coordinate constructions derived from persistent cohomology: their sensitivity to non-uniform.
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Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models
This paper addresses the challenge of preserving identity consistency in high-resolution facial image generation using diffusion models, a critical.
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Disentangling Semantic Attention from Structural Bias in the Attention Manifold
Multimodal Large Language Models (MLLMs) excel at integrating visual and linguistic inputs but suffer from a subtle structural flaw in their attention.
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Experimental Protocol Fingerprinting in Quantum Networks via Physical Layer Side Channel Analysis
This paper addresses the unexplored problem of protocol fingerprinting in practical quantum communication networks via physical-layer side channel analysis.
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Experimental Side Channel Analysis of Protocol Stages in Quantum Identity Authentication
This paper investigates a physical-layer side channel vulnerability in quantum identity authentication (QIA) protocols used in quantum networks.