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arXiv:2606.04244v1 Announce Type: new Abstract: Multimodal large language models are increasingly capable of complex reasoning, yet their performance often degrades when they must externalize a proble…
arXiv:2606.04223v1 Announce Type: new Abstract: Multi-agent systems are commonly designed to reduce disagreement through voting, consensus protocols, debate, or fault-tolerant aggregation. We argue th…
arXiv:2606.04202v1 Announce Type: new Abstract: As LLMs become more widely deployed, they are increasingly expected to work alongside other AI agents rather than operating in isolation. Effective coor…
arXiv:2606.04152v1 Announce Type: new Abstract: Large language models are reshaping research practice while quietly eroding researchers epistemic accountability. This commentary introduces PEEL - Prot…
arXiv:2606.04150v1 Announce Type: new Abstract: Public discourse and emerging policy typically assume that AI emotional support is a deliberate act: a lonely user consciously seeking comfort from a de…
arXiv:2606.04037v1 Announce Type: new Abstract: Pre-deployment verification of enterprise artificial intelligence (AI) agents remains a critical gap between large language model (LLM) capability bench…
arXiv:2606.04957v1 Announce Type: new Abstract: System-generated logs underpin security monitoring, yet their rigid template-based format hinders both automated analysis and human comprehension. We pr…
arXiv:2606.04912v1 Announce Type: new Abstract: Trusted Execution Environments (TEEs) have emerged as a critical technology for safeguarding sensitive data and ensuring code integrity in modern comput…
arXiv:2606.04901v1 Announce Type: new Abstract: Low-Earth Orbit (LEO) mega-constellations such as Starlink by SpaceX and Kuiper by Amazon rely on optical Inter-Satellite Links (ISLs) for autonomous me…
arXiv:2606.04899v1 Announce Type: new Abstract: Trusted Execution Environments (TEEs)-aided federated learning protocols emerge as promising solutions to counter server-side adversaries and ensure the…
arXiv:2606.04892v1 Announce Type: new Abstract: Confidential blockchains leveraging Trusted Execution Environments (TEEs) have garnered extensive attention for transaction confidentiality. In this pap…
arXiv:2606.04819v1 Announce Type: new Abstract: Pearl, a Layer-1 blockchain with high-profile AI industry endorsements, markets its Proof-of-Useful-Work (PoUW) protocol as simultaneously securing the …
arXiv:2606.04769v1 Announce Type: new Abstract: The Model Context Protocol (MCP) has emerged as a critical standard empowering Large Language Models (LLMs) to utilize external tools. In this ecosystem…
arXiv:2606.04717v1 Announce Type: new Abstract: We study a controlled numeric proxy for chain-of-thought (CoT) answer hijacking, motivated by attacks in which benign-looking reasoning steers a harmful…
arXiv:2606.04669v1 Announce Type: new Abstract: The transition to Post-Quantum Cryptography (PQC) is essential to protect software systems from emerging quantum-enabled threats. Although standardised …
arXiv:2606.04657v1 Announce Type: new Abstract: This paper presents TeleHunt, a framework and tool for evaluating the effectiveness of different strategies to discover cybercriminal communities on Tel…
arXiv:2606.04580v1 Announce Type: new Abstract: Cyber threat signals are fragmented across multiple social media platforms, yet no existing approach has fully automated their integration into actionab…
arXiv:2606.04549v1 Announce Type: new Abstract: Confidential Virtual Machines (CVMs), such as AMD SEV-SNP, enable cloud tenants to run security-sensitive workloads, but tenants can rely on the executi…
arXiv:2606.04486v1 Announce Type: new Abstract: Watermarking methods for language models have been studied extensively in the autoregressive setting, where tokens are generated sequentially. These wor…
arXiv:2606.04460v1 Announce Type: new Abstract: AI has the potential to transform cybersecurity by enabling systems that can autonomously detect, analyze, and remediate software vulnerabilities. Howev…
arXiv:2606.04459v1 Announce Type: new Abstract: Language model parameters are known to impose unique (to each model) geometric constraints on their logit outputs, which serves as a signature that iden…
arXiv:2606.04443v1 Announce Type: new Abstract: Black-box tests for Fujisaki-Okamoto decapsulation observe the sampled execution seen by the harness, whereas the reencryption computation itself is vis…
arXiv:2606.04425v1 Announce Type: new Abstract: Modern agentic systems transform LLMs from session-bounded assistants into stateful systems that persist and evolve shared world state across sessions t…
arXiv:2606.04411v1 Announce Type: new Abstract: We present Pepper, a high-bandwidth anonymous broadcast protocol that provides cryptographic sender anonymity against global adversaries. Pepper builds …