Yang Yan

The paper proposes UNSEEN, a cross-stack defense system combining AR access control, LLM unlearning, and agent guardrails to mitigate sophisticated AR-LLM social engineering attacks.

The paper introduces a new dataset (SHDF) and a framework (T-AVFD) to robustly detect audio-visual deepfakes, specifically addressing the challenge posed by singing vocalizations.

The paper introduces PTCG-Bench, a new benchmark using the Pokémon TCG to evaluate LLM agents' strategic decision-making and ability to self-evolve, finding that sustained self-evolution remains challenging.

The paper proposes SCOPE, a lightweight LLM framework that significantly improves the accuracy and efficiency of automated Air Traffic Control (ATC) readback monitoring, achieving high performance in open-set detection.

The paper proposes A2X, an LLM-native progressive-disclosure scheme that structures service taxonomies hierarchically and searches them layer-by-layer at query time, solving context overflow and improving service discovery accuracy.

The paper introduces PIGMENT, a physics-informed foundation model that enables reliable quantitative mapping of brain microstructure from extremely sparse or challenging diffusion MRI scans.

The paper proposes InSemRAG, an enhanced RAG framework that improves retrieval accuracy and knowledge integrity by incorporating intent-aware retrieval and semantics-preserving chunking, achieving state-of-the-art performance with reduced latency.

The eMoT framework enhances multi-step reasoning in LLMs by treating reasoning as an evolving memory, stabilizing performance through symbolic computation and structured refinement.

dstack-capsule is a Kubernetes platform that enables fine-grained, Pod-level remote attestation on Intel TDX, allowing multiple confidential workloads to share a single VM without sacrificing security or incurring excessive resource overhead.

The paper introduces PriSrv+, an advanced service discovery protocol that significantly enhances privacy, usability, and efficiency in wireless networks through a novel matchmaking encryption scheme called FEME.

The paper proposes PriSrv, a novel private service discovery protocol that enhances wireless communication security and privacy by enabling fine-grained, multi-layered matching and mutual authentication.