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arXiv:2606.20470v1 Announce Type: new Abstract: Agentic AI systems increasingly rely on language-model components to interpret instructions, process external data, invoke tools, and coordinate with ot…
arXiv:2606.20444v1 Announce Type: new Abstract: The paper proposes a dynamic approach to image encryption, combining the use of Convolutional Neural Networks (CNNs) and classical cryptography to impro…
arXiv:2606.20436v1 Announce Type: new Abstract: Malware analysts often inspect compiled binaries through decompiled pseudo-C, when source code is unavailable. Recent work suggests that large language …
arXiv:2606.20408v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly proposed as supervisory components for safety-critical systems, yet their robustness under sustained,…
arXiv:2606.20254v1 Announce Type: new Abstract: Model quantization is widely adopted to reduce memory usage and inference cost when deploying deep neural networks on resource-constrained devices. Howe…
arXiv:2606.20251v1 Announce Type: new Abstract: Mix networks are a highly effective way to achieve anonymity, defending against a wide range of traffic-analysis attacks. However, mix networks are usua…
arXiv:2606.20215v1 Announce Type: new Abstract: Global Navigation Satellite Systems (GNSS) constitute a core technology for delivering crucial positioning, navigation, and timing (PNT) services in the…
arXiv:2606.20214v1 Announce Type: new Abstract: In Industrial Internet of Things (IIoT) environments, trust management plays a vital role in securing systems, especially when dealing with resource-con…
arXiv:2606.19983v1 Announce Type: new Abstract: Embodied AI (EAI) mobile applications are evolving from auxiliary user interfaces into active control-path components, directly linking mobile-side cryp…
arXiv:2606.19937v1 Announce Type: new Abstract: Formal verification is a challenging but important task for ensuring the security of cryptographic protocols. While modern protocol verification tools s…
arXiv:2606.19887v1 Announce Type: new Abstract: Existing safety benchmarks target general adversarial scenarios but miss finance-specific risks. Financial LLMs face regulatory compliance violations, f…
arXiv:2606.19866v1 Announce Type: new Abstract: Fully Homomorphic Encryption (FHE) ensures robust data privacy but suffers from prohibitive computational overhead. Accelerating FHE on AI hardware like…
arXiv:2606.19826v1 Announce Type: new Abstract: Heterogeneous LLM debate is motivated by the promise that diverse peers correct one another, but the same exchange that carries correction also carries …
arXiv:2606.19807v1 Announce Type: new Abstract: Program runtime or timing attacks exploit variations in a program's execution times to extract sensitive information from the program (e.g. encryption k…
arXiv:2606.19755v1 Announce Type: new Abstract: Speculative inference accelerates large language model (LLM) decoding but provides no inherent safety guarantees. Existing safety defenses are largely i…
arXiv:2606.19692v1 Announce Type: new Abstract: Vector hubness, where a few points become nearest neighbors of many queries, creates a poisoning risk in retrieval-augmented generation (RAG): one injec…
arXiv:2606.19660v1 Announce Type: new Abstract: Prompt injection is ranked as the most critical vulnerability in large language model (LLM) deployments by the OWASP Top 10 for LLM Applications, yet ex…
arXiv:2606.19654v1 Announce Type: new Abstract: ReDoS attacks constitute a critical class of resource-exhaustion vulnerabilities. In such attacks, adversaries exploit the pathological worst-case execu…
arXiv:2606.19620v1 Announce Type: new Abstract: We present G-Lox (group-adaptive Lox), a bridge-distribution system that preserves Lox-style distributor blindness while enabling hidden, stateful group…
arXiv:2606.19535v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in sensitive settings such as software engineering, where their outputs directly shape downstream…
arXiv:2606.19474v1 Announce Type: new Abstract: The transition to Post Quantum Cryptography (PQC) introduces considerable implementation complexity, requiring strict adherence to constant-time executi…