arXiv:2608.11816v1 Announce Type: new Abstract: State-aligned distortion has been documented in China-origin text-based large language models (LLMs), but whether, and in what form, it arises in multim…
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arXiv:2608.11816v1 Announce Type: new Abstract: State-aligned distortion has been documented in China-origin text-based large language models (LLMs), but whether, and in what form, it arises in multim…
arXiv:2608.11802v1 Announce Type: new Abstract: Methods to increase the resilience of systems to cyber-attacks become increasingly important. Control-flow monitoring provides a principled basis to ens…
arXiv:2608.11799v1 Announce Type: new Abstract: Integrated sensing and communication (ISAC) has emerged as a pivotal paradigm for 6G networks, enabling the synergistic convergence of spectral and hard…
arXiv:2608.11732v1 Announce Type: new Abstract: Proprietary text-to-image diffusion models are increasingly distributed as hosted services and downloadable checkpoints, making their intellectual prope…
arXiv:2608.11730v1 Announce Type: new Abstract: Fine-grained access control (FGAC) mechanisms such as row-level security (RLS) and document-level security (DLS) are widely deployed in databases to res…
arXiv:2608.11526v1 Announce Type: new Abstract: In this paper, we present scalable fuzzy PSI protocols for general $L_{p \in [1, \infty]}$ distance, supporting both low- and high-dimensional sets. The…
2026 Cybersecurity Excellence Awards: Community Choice Winners Selected Through 80,000 Votes nextbigfuture.com
arXiv:2608.11492v1 Announce Type: new Abstract: IoT firmware vulnerability detection remains challenging due to heterogeneous firmware ecosystems, resource-constrained platforms, and limitations in ex…
arXiv:2608.11489v1 Announce Type: new Abstract: The evolution of automotive technology increasingly integrates components, transforming vehicles into interconnected systems of systems. Modern vehicles…
arXiv:2608.11469v1 Announce Type: new Abstract: AI agents are rapidly improving in cybersecurity capabilities when the source code is available for analysis, yet much of the software most consequentia…
arXiv:2608.11436v1 Announce Type: new Abstract: During a 2026 cyber-capability evaluation, short-lived AI agents turned a shared package repository into persistent memory, passing exploit findings to …
arXiv:2608.11418v1 Announce Type: new Abstract: Provenance aims to capture the origins, transformations, and interactions of system objects for security and forensic applications. Existing provenance …
arXiv:2608.11392v1 Announce Type: new Abstract: Long-running agents periodically compact their context, replacing the transcript with a model-generated summary.Recent work shows that dropping a standi…
arXiv:2608.11348v1 Announce Type: new Abstract: Anyone can upload a fine-tuned large language model (LLM) to a public repository and claim it is safe. A backdoored model behaves normally on ordinary i…
arXiv:2608.11337v1 Announce Type: new Abstract: With the surge in privacy-sensitive data from sources such as social media and IoT devices, there is a pressing need for formal, automated methods to as…
arXiv:2608.11295v1 Announce Type: new Abstract: Open-weight LLM agents are vulnerable to backdoors installed during fine-tuning, which may be undetectable if the trigger conditions are never met durin…
arXiv:2608.11293v1 Announce Type: new Abstract: The standardized 5G Authentication and Key Agreement (5G-AKA) authenticates a subscriber credential stored on a Universal Subscriber Identity Model (USI…
arXiv:2608.11291v1 Announce Type: new Abstract: Intrusion detection systems (IDS) and automated systems for detecting and reporting cyber threats, are commonly handled via supervised machine learning …
arXiv:2608.11286v1 Announce Type: new Abstract: Cyberattack detection in electric vehicle charging infrastructure is complicated by legitimate post-activation revisions to requested energy and departu…
arXiv:2608.11277v1 Announce Type: new Abstract: Hardware-in-the-Loop validation of automotive software systems generates large multivariate time-series recordings whose manual analysis is time-consumi…
arXiv:2608.11274v1 Announce Type: new Abstract: The dominant paradigm treats AI safety as a property to be instilled during model training via RLHF, DPO, or Constitutional AI. We argue this is structu…
arXiv:2608.10171v1 Announce Type: cross Abstract: The rapid advancement of Large Language Models (LLMs) has facilitated their ubiquitous integration into various domains, leading to widespread adoptio…
arXiv:2608.01675v4 Announce Type: cross Abstract: We develop a characteristic-uniform arithmetic theory for \[ \mathcal C_d:\quad (u^2+u)(v^2+v)=d. \] For \(d(1-16d)\ne0\), its smooth \((2,2)\)-comple…
arXiv:2608.11153v1 Announce Type: new Abstract: For companies of all sizes, data security is a top priority. The chance of unauthorized data access increases as technology develops. To prevent unwante…