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arXiv:2606.18686v1 Announce Type: new Abstract: Forecasting benchmarks for general-purpose AI systems usually inherit the constraints of the real world: outcomes resolve slowly, tail events are rare, …
arXiv:2606.18598v1 Announce Type: new Abstract: Decision making in lithium production is challenging, whether from an investor's perspective or a strategic production standpoint. Determining which min…
arXiv:2606.18557v1 Announce Type: new Abstract: A rule-based logic solver resolves every instance in our benchmark in under 50 microseconds with 100% accuracy; the best frontier language model reaches…
arXiv:2606.18543v1 Announce Type: new Abstract: Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering and customer service. Yet real-wor…
arXiv:2606.18413v1 Announce Type: new Abstract: Automated AI agents are increasingly capable, yet many scientific and professional tasks require human judgment and contextual expertise. We study share…
arXiv:2606.18385v1 Announce Type: new Abstract: Vision-Language Models (VLMs) remain prone to hallucinations, producing fluent but visually unfaithful outputs. Existing chain-of-thought and retrieval-…
arXiv:2606.18271v1 Announce Type: new Abstract: As Earth Observation data generation outpaces downlink bandwidth and human-in-the-loop processing, a widening gap has emerged between onboard collection…
arXiv:2606.18400v1 Announce Type: cross Abstract: Large foundation models deployed on third-party and shared accelerator infrastructure face a practical risk of model exfiltration that existing defens…
arXiv:2606.18318v1 Announce Type: cross Abstract: Adversarial patches pose a practical threat to modern object detectors. Prior work shows vulnerability, but three gaps limit actionable insight: (i) f…
arXiv:2606.19235v1 Announce Type: new Abstract: Code large language models increasingly retrieve external code context from repositories, documentation, issue threads, and coding-agent environments, c…
arXiv:2606.19191v1 Announce Type: new Abstract: Agent skills allow LLM-based coding agents to acquire domain-specific capabilities from third-party packages, but they also introduce a new supply-chain…
arXiv:2606.19149v1 Announce Type: new Abstract: Automated vulnerability discovery in large codebases remains challenging: traditional static analysis produces high false-positive rates, while dynamic …
arXiv:2606.19129v1 Announce Type: new Abstract: Dealing simultaneously with confidentiality and Byzantine behaviors in decentralized learning is a challenging problem. Indeed, in decentralized learnin…
arXiv:2606.19106v1 Announce Type: new Abstract: Lawful exceptional access (EA) systems hold the cryptographic keys that decrypt protected communications for authorised parties. The debate over their r…
arXiv:2606.19076v1 Announce Type: new Abstract: Defenders cannot patch every newly disclosed vulnerability at once, so exploitability prediction must be evaluated prospectively rather than retrospecti…
arXiv:2606.19063v1 Announce Type: new Abstract: The detection of malicious PyPI packages is crucial for maintaining the security of the open source software supply chain. Existing methods, which prima…
arXiv:2606.19023v1 Announce Type: new Abstract: The growing reliance on pre-trained Machine Learning (ML) models has introduced new attack surfaces. Recent vulnerabilities demonstrate that malicious b…
arXiv:2606.18996v1 Announce Type: new Abstract: Agents are increasingly deployed in document-intensive workflows where sensitive private information is not an edge case but a routine input, e.g., an a…
arXiv:2606.18771v1 Announce Type: new Abstract: Low-Rate Denial of Service (LDoS) attacks pose a significant challenge to IoT networks due to their subtle and prolonged nature, often evading tradition…
arXiv:2606.18710v1 Announce Type: new Abstract: Distributed large language model (LLM) inference frameworks connect isolated consumer-grade devices for large-scale model inference, substantially reduc…
arXiv:2606.18673v1 Announce Type: new Abstract: Large language model (LLM)-based applications rely on system prompts to encode core logic and developer-defined constraints, making these prompts import…
arXiv:2606.18651v1 Announce Type: new Abstract: In enterprise environments, multiple Advanced Persistent Threat (APT) campaigns often unfold concurrently, producing audit logs in which attack techniqu…
arXiv:2606.18619v1 Announce Type: new Abstract: The advent of agentic vulnerability detection is already becoming a watershed moment for software security. Audits conducted entirely by autonomous LLM …
arXiv:2606.18599v1 Announce Type: new Abstract: The Controller Area Network (CAN) protocol is the primary communication standard for Electronic Control Units (ECUs) in modern vehicles, but its lack of…