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arXiv:2604.15868v1 Announce Type: new Abstract: We present a low-stack implementation of the module-lattice signature scheme HAETAE, targeting microcontrollers with 8 kB-16 kB of available SRAM. On su…
arXiv:2604.15858v1 Announce Type: new Abstract: Weber's conjecture (1886) governs three aspects of lattice-based cryptography: the solvability of the Principal Ideal Problem, the freeness of modules o…
arXiv:2604.15845v1 Announce Type: new Abstract: Modern computing systems inherently trust human input devices, creating an exploitable attack surface for adversarial automation. USB Human Interface De…
arXiv:2604.15831v1 Announce Type: new Abstract: This paper presents a lightweight, protocol-agnostic security enhancement for Simultaneous Wireless Information and Power Transfer (SWIPT) in Internet o…
arXiv:2604.15810v1 Announce Type: new Abstract: Static Random Access Memory (SRAM) Physically Unclonable Functions (PUFs) make use of intrinsic manufacturing variations in memory cells to derive devic…
arXiv:2604.15751v1 Announce Type: new Abstract: We introduce PoSME (Proof of Sequential Memory Execution), a cryptographic primitive that enforces sustained sequential computation via latency-bound po…
arXiv:2604.15728v1 Announce Type: new Abstract: Large language model (LLM) routing has emerged as a critical strategy to balance model performance and cost-efficiency by dynamically selecting services…
arXiv:2604.15717v1 Announce Type: new Abstract: A central goal of LLM alignment is to balance helpfulness with harmlessness, yet these objectives conflict when the same knowledge serves both legitimat…
arXiv:2604.15677v1 Announce Type: new Abstract: Website fingerprinting (WF) attacks infer the websites visited by users from encrypted traffic in anonymous networks such as Tor. Existing deep learning…
arXiv:2604.15660v1 Announce Type: new Abstract: How to synthesize a dataset while achieving differential privacy for AI model training is a meaningful but challenging problem. To address this problem,…
arXiv:2604.15641v1 Announce Type: new Abstract: Blocklisting is a common technique for preventing the use of known malicious content. However, conventional blocklisting infrastructures require either …
arXiv:2604.15637v1 Announce Type: new Abstract: Apple Intelligence is a generative AI (GenAI) service provided by Apple on its devices. While offering a similar set of features as other similar GenAI …
arXiv:2604.15596v1 Announce Type: new Abstract: Algorithmic predictions are increasingly used to inform the allocation of scarce resources. The promise of these methods is that, through machine learni…
arXiv:2604.15590v1 Announce Type: new Abstract: Reinforcement learning is a promising approach to autonomous and adaptive security management in networked systems. However, current reinforcement learn…
arXiv:2604.15584v1 Announce Type: new Abstract: Smart healthcare industry is increasingly relying on Internet of Things (IoT) devices to improve patient care and operational efficiency. However, the c…
arXiv:2604.15499v1 Announce Type: new Abstract: Cryptographically secure neural network inference typically relies on secure computing techniques such as Secure Multi-Party Computation (MPC), enabling…
arXiv:2604.15415v1 Announce Type: new Abstract: Large language models (LLMs) have evolved into autonomous agents that rely on open skill ecosystems (e.g., ClawHub and Skills.Rest), hosting numerous pu…
arXiv:2604.15402v1 Announce Type: new Abstract: Classical symbolic protocol verification under Dolev--Yao uses binary attacker knowledge (known/unknown). This abstraction misses cumulative side-channe…
arXiv:2604.15384v1 Announce Type: new Abstract: We introduce LinuxArena, a control setting in which agents operate directly on live, multi-service production environments. LinuxArena contains 20 envir…
arXiv:2604.15372v1 Announce Type: new Abstract: As generative AI advances, the distinction between authentic and synthetic media is increasingly blurred, challenging the integrity of online informatio…
arXiv:2604.15370v1 Announce Type: new Abstract: Graph adversarial attacks are usually produced from the two perspectives of topology/structure and node feature, both of them represent the paramount ch…
arXiv:2604.15369v1 Announce Type: new Abstract: Crash narratives in crash reports provide crucial contextual information for traffic safety analysis. Yet, their broader use is hindered by the presence…
arXiv:2604.15368v1 Announce Type: new Abstract: LLM debugging agents that consume cloud logs and execute remediation commands are vulnerable to indirect prompt injection through log content. We presen…
arXiv:2604.15367v1 Announce Type: new Abstract: Autonomous large language model (LLM) agents such as OpenClaw are pushing agentic commerce from human-supervised assistance toward machine actors that c…