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This paper addresses a key challenge in Evidential Deep Learning (EDL), which aims to estimate uncertainty in classification tasks by modeling class probabilities as Dirichlet distributions paramet…
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This paper addresses the critical challenge of securing implantable Internet of Medical Things (IoMT) devices by introducing QT-PUF, a Physical Unclonable Function based on quantum tunneling leakag…
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This paper addresses the vulnerabilities of Retrieval-Augmented Generation (RAG) systems used in dynamic web search to evolving adversarial attacks, such as corpus poisoning and prompt injection
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This paper addresses a novel class of attacks on LLM-based product ranking systems, termed Generative Engine Optimization (GEO)
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Sensor2Sensor addresses a critical data scarcity challenge in autonomous driving system (ADS) validation by enabling the conversion of unstructured, in-the-wild monocular dashcam videos into high-f…
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This paper addresses the challenge of composing multiple customized concepts in text-to-image diffusion models, a task hindered by representation interference when independently fine-tuned modules …
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SGR-Bench addresses the challenge of state-gated retrieval (SGR), a specialized form of web data retrieval requiring agents not only to identify the correct website but also to establish and mainta…
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This paper addresses the significant latency in multi-hop retrieval-augmented language model workflows, where models sequentially call external tools like web search or document retrieval multiple …
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This paper addresses the problem of detecting AI-generated images, which increasingly resemble real images and are thus harder to detect
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This paper addresses the critical challenge of data scarcity in pediatric rare disease recognition using facial images, where real datasets are extremely limited due to privacy concerns and difficu…
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TerminalWorld addresses the challenge of reliably evaluating autonomous agents on authentic, real-world terminal command-line interface (CLI) tasks
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This paper addresses the challenge of converting raw wearable sensor data into generalized, personalized health insights across a broad spectrum of conditions and populations
