arXiv:2608.06474v1 Announce Type: new Abstract: Large language models increasingly generate complete websites from natural-language descriptions, and reinforcement learning has become a central approa…
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arXiv:2608.06474v1 Announce Type: new Abstract: Large language models increasingly generate complete websites from natural-language descriptions, and reinforcement learning has become a central approa…
arXiv:2608.06411v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) achieve strong performance across diverse vision-language tasks, but their efficiency is limited by the cost of…
arXiv:2608.06410v1 Announce Type: new Abstract: Automated agent design improves agent harnesses through iterative revision, evaluation, and feedback summarization. Existing methods are largely candida…
arXiv:2608.06402v1 Announce Type: new Abstract: Community detection is a fundamental task in graph analytics that aims to identify cohesive groups of entities with similar behaviors or interests. Clas…
arXiv:2608.06400v1 Announce Type: new Abstract: Reward models are central to learning from human preferences, yet identifying what drives their predictions remains challenging. Recent sparse Mixture-o…
arXiv:2608.06398v1 Announce Type: new Abstract: Recent byte-level large language models (LLMs) have made tokenizer-free modeling increasingly competitive by grouping bytes into dynamically sized patch…
arXiv:2608.06394v1 Announce Type: new Abstract: Multi-label node classification is an important yet challenging task in graph learning, where nodes exhibit multiple semantics simultaneously. Existing …
arXiv:2608.06960v1 Announce Type: cross Abstract: Internet of Things (IoT) devices handle sensitive privacy-related information such as user audio, video, and authentication data, making it essential …
arXiv:2608.06830v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used as high-level planners in embodied multi-robot systems, enabling robots to interpret natural langua…
arXiv:2608.06655v1 Announce Type: cross Abstract: Infrastructure networks increasingly rely on distributed sensing to detect intrusions before attackers reach valuable assets. Yet sensing devices, com…
arXiv:2608.07451v1 Announce Type: new Abstract: Phishing attacks have always been a favored vector for adversaries to defraud users, bypass modern defense mechanisms, and penetrate critical systems. A…
arXiv:2608.07143v1 Announce Type: new Abstract: Baseband processors are reachable over the radio at all times. Their most security-relevant logic runs deep inside protocol state machines: the control-…
arXiv:2608.07104v1 Announce Type: new Abstract: Cryptoasset systems often bind cryptographic key control to financial control: losing a wallet seed, custody share, hardware device, or smart-account cr…
arXiv:2608.07063v1 Announce Type: new Abstract: Content provenance standards, such as C2PA, are increasingly used to attach signed records of origin, editing history, and rights to digital images. How…
arXiv:2608.07016v1 Announce Type: new Abstract: Parental control systems are designed to protect minors online, but can inadvertently obstruct digital forensic investigations. When enabled, these syst…
arXiv:2608.06984v1 Announce Type: new Abstract: Modern agent harnesses persist state across tasks and sessions through persistent carriers like memory, skills, tools, and shared artifacts. However, th…
arXiv:2608.06952v1 Announce Type: new Abstract: Impersonation is a fundamental security threat in face recognition systems (FRSs). While the security of FRSs has been challenged by various attack vect…
arXiv:2608.06947v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is indispensable for enhancing large language models. However, RAGs are increasingly susceptible to poisoning attac…
arXiv:2608.06885v1 Announce Type: new Abstract: Cooperative UAV-swarm defenses commonly cross-check GNSS positions against measured inter-drone geometry. We show that this relative-geometry channel ha…
arXiv:2608.06862v1 Announce Type: new Abstract: Computer-use agents~(CUAs) have transformed large language models into persistent execution systems capable of generating, storing, and reusing artifact…
arXiv:2608.06848v1 Announce Type: new Abstract: Large language models (LLMs) are widely used for code generation, yet they can reproduce vulnerable implementations learned from insecure training patte…
arXiv:2608.06837v1 Announce Type: new Abstract: At ASIACRYPT 2021, Baksi et al. introduced DEFAULT, a block cipher designed to algorithmically resist Differential Fault Attack (DFA), claiming 64-bit D…
arXiv:2608.06826v1 Announce Type: new Abstract: In this paper, we present a comparative performance analysis of the POKE-based key exchange and SIDH variants. SIDH gained attention for its small key s…
arXiv:2608.06805v1 Announce Type: new Abstract: While radio frequency fingerprint (RFF)-based wireless device authentication has been widely studied across different datasets and scenarios, there stil…