arXiv:2605.20425v1 Announce Type: new Abstract: Designing multi-agent workflows is especially difficult in open-ended scientific settings where tasks lack curated training sets, reliable scalar evalua…
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arXiv:2605.20425v1 Announce Type: new Abstract: Designing multi-agent workflows is especially difficult in open-ended scientific settings where tasks lack curated training sets, reliable scalar evalua…
arXiv:2605.20423v1 Announce Type: new Abstract: Large Language Models (LLMs) perform well on many language tasks, but their Theory of Mind (ToM) reasoning is still uneven in complex social settings. E…
arXiv:2605.20190v1 Announce Type: new Abstract: Iterative industrial design-simulation optimization is bottlenecked by the CAD-CAE semantic gap: translating simulation feedback into valid geometric ed…
arXiv:2605.20189v1 Announce Type: new Abstract: Despite the remarkable success of large language models (LLMs), they still face bottlenecks while deploying in dynamic, real-world settings with primary…
arXiv:2605.22437v1 Announce Type: new Abstract: Vision processing units and other commercial neural-network inference accelerators are increasingly deployed in safety-relevant edge applications, but t…
arXiv:2605.22365v1 Announce Type: new Abstract: Time Series Forecasting (TSF) plays a critical role across many domains, yet it is vulnerable to backdoor attacks. However, backdoor defenses tailored t…
arXiv:2605.22333v1 Announce Type: new Abstract: The Model Context Protocol (MCP) is emerging as a common interface connecting large language models (LLMs) with external services. Remote deployments ar…
arXiv:2605.22332v1 Announce Type: new Abstract: The fast growth of quantum computing can lead to amazing scientific breakthroughs while on the same time can be used to break today's security systems, …
arXiv:2605.22324v1 Announce Type: new Abstract: Security operations centers face persistent alert fatigue: in low-prevalence streams, even low false-positive rates generate substantial investigation l…
arXiv:2605.22321v1 Announce Type: new Abstract: As autonomous agents (e.g., OpenClaw) increasingly operate with deep system-level privileges to execute complex tasks, they introduce severe, unmitigate…
arXiv:2605.22237v1 Announce Type: new Abstract: Fully homomorphic encryption (FHE) supports only additions and multiplications, so FHE-only neural-network inference typically replaces ReLU with polyno…
arXiv:2605.22151v1 Announce Type: new Abstract: Modern charging communication standards for electric vehicles include optional security controls such as TLS-based authentication and encryption. Howeve…
arXiv:2605.22122v1 Announce Type: new Abstract: Collaborative perception (CP) enables connected and autonomous vehicles to share sensor data and jointly reason about their environment. To defend again…
arXiv:2605.22119v1 Announce Type: new Abstract: In cybersecurity, vulnerability assessment has typically focused on identifying and measuring vulnerabilities within digital assets and technical infras…
arXiv:2605.22113v1 Announce Type: new Abstract: The Internet of Medical Things (IoMT) marks a shift toward decentralized healthcare, enabling continuous monitoring and personalized care through connec…
arXiv:2605.22060v1 Announce Type: new Abstract: Closed-weight generative services are increasingly deployed through query-based APIs, where users can obtain generated outputs while model parameters re…
arXiv:2605.22041v1 Announce Type: new Abstract: While RAG systems are increasingly deployed in dynamic web search, temporal volatility amplifies their vulnerability to adversarial attacks. Existing st…
arXiv:2605.22027v1 Announce Type: new Abstract: Security analysts routinely query system logs to detect threats and investigate incidents, but each log source uses its own semi-structured format: logs…
arXiv:2605.22001v1 Announce Type: new Abstract: Injection detectors deployed to protect LLM agents are calibrated on static, template-based payloads that announce themselves as override directives. We…
arXiv:2605.21915v1 Announce Type: new Abstract: Congestion controllers (CCs) are critical to network performance, and yet their robustness under adverse conditions remains insufficiently understood. W…
arXiv:2605.21865v1 Announce Type: new Abstract: Data leakage from API responses has drawn wide attention. APIs are often not fully regulated, making them easy to abuse. One common solution is to embed…
arXiv:2605.21857v1 Announce Type: new Abstract: We introduce baseSPIDER and SPIDER, private information retrieval (PIR) schemes that embody two technical advancements. The baseSPIDER protocol operates…
arXiv:2605.21824v1 Announce Type: new Abstract: Fuzz testing is the dominant technique for finding memory-safety vulnerabilities in C/C++ software, yet its effectiveness hinges on the quality of fuzz …
arXiv:2605.21821v1 Announce Type: new Abstract: Sandbox evasion remains a critical challenge for automated malware analysis, as modern malware employs environment checks to detect analysis platforms a…