This paper tests the impact of acoustic factors on voice control systems and introduces a Dual-Form Signal to Noise Ratio to decouple source stealth from attack efficacy.

This paper introduces Re-Sonance, a real-time speech-driven AAC system for professional speaking scenarios using LLM-enhanced Whisper ASR, Qwen LLM, and CosyVoice TTS.

The paper analyzes persistent prompt injection vulnerabilities in always-on autonomous AI agents by defining 'sleeper channels' and proposing a defense mechanism based on canonical action-instance dig…

This paper investigates neural activity during five auditory conditions using EEG recordings from a 5-year-old participant, revealing condition-specific modulation of neural oscillatory activity and d…

AetherWeave is a novel, stake-backed peer-discovery protocol that achieves Sybil resistance and privacy in P2P networks, ensuring robust connectivity even against powerful adversaries.

Chatterbox-Flash introduces a prior-calibrated block diffusion model for zero-shot TTS that achieves high-fidelity, streaming synthesis with significantly lower computational overhead than existing me…

This paper conditions a diffusion-based speech enhancement model on wav2vec 2.0 features using Feature-wise Linear Modulation (FiLM), achieving competitive performance on VoiceBank-DEMAND and LibriMix…

This paper proposes MUTE, a framework for reducing communication in Multi-Agent Reinforcement Learning under bandwidth constraints by unlearning irrelevant messages.

This systematic review analyzes the current state of SMS phishing (smishing) attacks and defenses, organizing existing research into four pillars to identify gaps and propose future mitigation strateg…

The paper develops a novel attack method for multi-agent discussions under continuous monitoring, demonstrating that monitoring alone is insufficient to secure these systems.

A lightweight sensor-driven Lévy walk controller is presented for efficient autonomous exploration of minimal-sensing, resource-constrained nano-UAVs.

This paper proposes ShopX, a model-centric framework for intent-driven shopping experiences using a single foundation model for intent understanding, execution planning, and item-space operations.

This paper examines how commercial voice AI systems reproduce and circulate gender performances through a listening experiment.

This paper proposes improvements to rotating-leader consensus protocols and their underlying P2P networks in blockchain systems, achieving up to 7.26x peak throughput improvement.

This paper establishes a timing attack against network-agnostic guardians in time-triggered communication protocols, causing collisions with critical messages and remaining undetected.

ClawGuard introduces a passive, out-of-band security monitor that detects LLM agent workflow hijacking by analyzing unique electromagnetic (EM) emanations generated during agent skill execution.

This paper explores methods to reduce latency in GPU collective communications for large language model inference, achieving near-optimal designs with barrier-free synchronization and efficient use of…

This paper introduces Selective Field Transmission (SFT), a mechanism that dynamically adapts transmitted message components to each receiver's needs in publish-subscribe systems, achieving significan…

The paper proposes SAGE, a framework that uses Signal-Amplified Guided Embeddings to overcome 'Signal Submersion' in LLMs, significantly boosting vulnerability detection accuracy across multiple progr…