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This paper addresses a critical security vulnerability in drone-based federated learning (FL) systems, where availability attacks on the wireless network.
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This paper addresses the persistent challenge of bridging the gap between high benchmark performance of Vision-Language-Action (VLA) humanoid robot.
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This work introduces CURED, a unified web-based demonstrator designed to bridge the gap between advanced machine learning (ML) research on tabular data.
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This paper addresses the problem of decentralized online optimization for strongly geodesically convex (strongly g-convex) loss functions defined on.
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This paper addresses the growing challenge of detecting deepfake news videos that manipulate both facial visuals and speech audio to deceive audiences.
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This paper addresses the challenge of solving large-scale combinatorial optimization problems, which are critical in many scientific and engineering.
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This paper addresses the formal verification of cryptographic communication protocols, focusing on reasoning about authenticity and safety properties.
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This paper evaluates whether state-of-the-art Large Language Models (LLMs), specifically OpenAI GPT and DeepSeek, can perform symbolic security protocol.
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This paper investigates the linguistic phenomenon of unlike coordination, where conjuncts differ in syntactic category, challenging the classical Law of.
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This paper addresses operational inefficiencies, limited state visibility, and regulatory compliance challenges inherent in clinical biomarker workflows.
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This paper tackles the challenging problem of determining local unitary (LU) equivalence of a special but important class of degenerate quantum states.
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This paper addresses the challenge of improving Automatic Speaker Verification (ASV) system performance under noisy acoustic conditions by employing.
