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arXiv:2605.23091v1 Announce Type: cross Abstract: The majority of software developers use or are planning to use Artificial Intelligence (AI) tools in their development processes. Their top reasons in…
arXiv:2605.22830v1 Announce Type: cross Abstract: We present Intercloud, a decentralised economic network in which streams of private data are secured by Watcher swarms that observe only cryptographic…
arXiv:2605.20192v1 Announce Type: cross Abstract: Decentraland, a decentralized virtual reality platform operating within the expanding Metaverse ecosystem, utilizes its native MANA token to facilitat…
arXiv:2605.23843v1 Announce Type: new Abstract: The commitment-based AKE model provides a formal security framework for key exchange protocols that avoid long-term cryptographic material, achieving au…
arXiv:2605.23695v1 Announce Type: new Abstract: Validating threat modeling results remains difficult because completeness is hard to judge without an external oracle. Existing studies often rely on ex…
arXiv:2605.23643v1 Announce Type: new Abstract: Tools like Tamarin and ProVerif have achieved notable success in analyzing and verifying complex real-world protocols such as EMV, 5G, and WPA2, even de…
arXiv:2605.23641v1 Announce Type: new Abstract: As privacy concerns in AI technologies continue to grow, Homomorphic Encryption (HE) offers a way to perform computations on encrypted data without the …
arXiv:2605.23640v1 Announce Type: new Abstract: Large Language Models (LLMs) rely on Key-Value (KV) caching to accelerate inference, and many serving systems further share the KV cache across users' r…
arXiv:2605.23623v1 Announce Type: new Abstract: We present a longitudinal, drift-aware evaluation of adversarial robustness across more than a decade of Android applications using static and dynamic f…
arXiv:2605.23598v1 Announce Type: new Abstract: Short-video platforms like Douyin and Kwai have become central to adolescent digital life, but they also risk exposing teens to algorithmically amplifie…
arXiv:2605.23448v1 Announce Type: new Abstract: This work examines an imbalance in artificial intelligence (AI) security research: the field tends to produce more work on attacking AI systems than on …
arXiv:2605.23330v1 Announce Type: new Abstract: This paper systematically investigates the security, privacy, and ethical risks, as well as the traceability challenges of OpenClaw, a locally executabl…
arXiv:2605.23243v1 Announce Type: new Abstract: We evaluate whether frontier LLMs are ready for cybersecurity through a dual-mode benchmark: white-box function-level vulnerability detection (VulnLLM-R…
arXiv:2605.23196v1 Announce Type: new Abstract: Guardrail models (a.k.a. safety checkers) are widely deployed to screen user inputs before they reach large language models (LLMs), serving as a primary…
arXiv:2605.23175v1 Announce Type: new Abstract: Proprietary large language models (LLMs) face risks of intellectual property (IP) violation, as adversaries can replicate an LLM by collecting input-out…
arXiv:2605.23168v1 Announce Type: new Abstract: When practitioners fine-tune LLMs on unvetted datasets, an adversary can exploit the data supply chain through task-level poisoning: inserting a small n…
arXiv:2605.23158v1 Announce Type: new Abstract: The deployment of large language models (LLMs) on resource-constrained devices remains challenging, spurring interest in split inference, where models a…
arXiv:2605.23096v1 Announce Type: new Abstract: Fully homomorphic encryption (FHE) enables private inference by evaluating neural networks on encrypted data. In this way, we can delegate the computati…
arXiv:2605.23059v1 Announce Type: new Abstract: Internet of Things (IoT) security research continues to face a methodological gap between scalable virtual experimentation and realistic device behaviou…
arXiv:2605.23004v1 Announce Type: new Abstract: Botnets are among the most persistent cyber threats, enabling large-scale attacks such as spam, credential theft, and distributed denial-of-service (DDo…
arXiv:2605.22985v1 Announce Type: new Abstract: The rise of autonomous AI agents and the accelerating velocity of corporate data access are stretching the application-centric model of zero trust secur…
arXiv:2605.22842v1 Announce Type: new Abstract: Multi-agent AI pipelines typically assume that agent misconduct originates from model misalignment. We identify a structural failure in this assumption,…
A vulnerability marked as problematic has been reported in huggingface transformers up to 5.2.x . This vulnerability affects the function AutoModelForCausalLM.from_pretrained of the file config.json .…
A vulnerability described as critical has been identified in WineHQ Wine up to 11.0 . This issue affects some unknown processing of the component MIME Handler . Such manipulation leads to incorrect re…