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arXiv:2606.18550v1 Announce Type: new Abstract: Risk-Aware Causal Gating (RACG) defends tool-augmented LLM agents against indirect prompt injection by removing dangerous tools from the agent's visible…
arXiv:2606.18541v1 Announce Type: new Abstract: Today's young adults are most immersed in technology, leading in feelings of powerlessness in managing online privacy across many platforms, and particu…
arXiv:2606.18532v1 Announce Type: new Abstract: AI systems are increasingly evaluated in bounded environments that combine isolation, simulation, instrumentation, supervision, and evidence capture. Fo…
arXiv:2606.18530v1 Announce Type: new Abstract: Domain-camouflaged injection attacks embed malicious instructions in retrieved content using domain-appropriate vocabulary, evading standard detectors t…
arXiv:2606.18526v1 Announce Type: new Abstract: The Mixed-Radix One-Time Pad (MR-OTP) extends the classical OTP to heterogeneous alphabets while preserving perfect secrecy. We provide a practical, bia…
arXiv:2606.18497v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) allows large language models to access external and private corpora for factual, domain-specific responses. Modern …
arXiv:2606.18427v1 Announce Type: new Abstract: In China, a burgeoning underground market sells citizens subscription-based censorship circumvention proxies known as ''airports''. We present the first…
arXiv:2606.18405v1 Announce Type: new Abstract: Testing implementations of binary protocols for specification compliance requires inputs that satisfy both structural and semantic constraints. Purely r…
arXiv:2606.18356v1 Announce Type: new Abstract: Tool-using language-model agents introduce security failures that go beyond unsafe text: they can disclose protected objects, write persistent memory, s…
arXiv:2606.18325v1 Announce Type: new Abstract: Enterprise intrusion response still depends on static playbooks and analyst-driven triage, creating delay between alert generation and containment. We p…
arXiv:2606.18320v1 Announce Type: new Abstract: Cybersecurity literature reviews require a reproducible denominator: the set of papers that a protocol includes before screening and synthesis begin. To…
arXiv:2606.18312v1 Announce Type: new Abstract: Federated learning allows multiple clients to jointly train a shared model by sending gradient updates to a central server while keeping raw inputs loca…
arXiv:2606.18310v1 Announce Type: new Abstract: Injecting malicious knowledge into retrieval-augmented generation (RAG) systems can manipulate retrieved evidence and mislead downstream generation, pos…
Agentic AI Security in 2026: What to Know KnowBe4 Blog
Research in “Nature” shows our conversational AI system matches primary care physicians in complex disease management.
arXiv:2606.17821v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities in translating natural language to SQL, yet existing methods still falter on comp…
arXiv:2606.17735v1 Announce Type: new Abstract: Although reinforcement learning (RL) has expanded the cognitive boundaries of large language models (LLMs), it often remains vulnerable to the autoregre…
arXiv:2606.17727v1 Announce Type: new Abstract: Recent vision-language models (VLMs) have shown promising progress in generating webpages from visual inputs, yet existing evaluations mainly focus on s…
arXiv:2606.17698v1 Announce Type: new Abstract: As LLM-based shopping agents enter production, existing benchmarks fail to capture how a shopper's requirements arrive: stated implicitly in the query, …
arXiv:2606.17696v1 Announce Type: new Abstract: Parametric computer-aided design records both final geometry and the ordered construction history that determines how a part can be edited. Datasets for…