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…
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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…
TIL: SQL functions in Google Sheets to fetch data from Datasette I put together some notes on patterns for fetching data from a Datasette instance directly into Google Sheets - using the importdata() …
Claude Token Counter, now with model comparisons I upgraded my Claude Token Counter tool to add the ability to run the same count against different models in order to compare them. As far as I can tel…
Headless everything for personal AI Matt Webb thinks headless services are about to become much more common: Why? Because using personal AIs is a better experience for users than using services direct…
Cybersecurity Arms Race: Microsoft vs. Hackers in 2026 Dailyhunt
Anthropic are the only major AI lab to publish the system prompts for their user-facing chat systems. Their system prompt archive now dates all the way back to Claude 3 in July 2024 and it's always in…
Research: Claude system prompts as a git timeline Anthropic publish the system prompts for Claude chat and make that page available as Markdown . I had Claude Code turn that page into separate files f…