arXiv:2603.22312v1 Announce Type: new Abstract: This paper computationally investigates whether thought requires a language-like format, as posited by the Language of Thought (LoT) hypothesis. We intr…
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arXiv:2603.22312v1 Announce Type: new Abstract: This paper computationally investigates whether thought requires a language-like format, as posited by the Language of Thought (LoT) hypothesis. We intr…
arXiv:2603.22306v1 Announce Type: new Abstract: Affective judgment in real interaction is rarely a purely local prediction problem. Emotional meaning often depends on prior trajectory, accumulated con…
arXiv:2603.23221v1 Announce Type: new Abstract: European Digital Identity (EUDI) Wallet aims to provide end users with a way to get attested credentials from issuers, and present them to different rel…
arXiv:2603.23197v1 Announce Type: new Abstract: Coordination of view coverage via privacy-aware smart cameras is key to a more socially responsible urban intelligence. Rather than maximizing view cove…
arXiv:2603.23171v1 Announce Type: new Abstract: Large language models (LLMs) can be misused to reveal sensitive information, such as weapon-making instructions or writing malware. LLM providers rely o…
arXiv:2603.23117v1 Announce Type: new Abstract: By integrating Chain-of-Thought(CoT) reasoning, Vision-Language-Action (VLA) models have demonstrated strong capabilities in robotic manipulation, parti…
arXiv:2603.23064v1 Announce Type: new Abstract: We identify a critical security vulnerability in mainstream Claw personal AI agents: untrusted content encountered during heartbeat-driven background ex…
arXiv:2603.23012v1 Announce Type: new Abstract: Critical energy infrastructures increasingly rely on information and communication technology for monitoring and control, which leads to new challenges …
arXiv:2603.23007v1 Announce Type: new Abstract: The rapid adoption of mobile graphical user interface (GUI) agents, which autonomously control applications and operating systems (OS), exposes new syst…
arXiv:2603.23005v1 Announce Type: new Abstract: Steganography conceals secret information within innocuous carriers while preserving visual fidelity and enabling reliable recovery. Recent unified netw…
arXiv:2603.22987v1 Announce Type: new Abstract: Membership inference attacks (MIAs) aim to determine whether a data sample was included in a machine learning (ML) model's training set and have become …
arXiv:2603.22982v1 Announce Type: new Abstract: Provenance-based Intrusion Detection Systems (PIDSes) have been widely used to detect Advanced Persistent Threats (APTs). Although many studies achieve …
arXiv:2603.22968v1 Announce Type: new Abstract: The growing use of large language models has increased interest in sharing textual data in a privacy-preserving manner. One prominent line of work addre…
arXiv:2603.22954v1 Announce Type: new Abstract: Electronic health records (EHRs) and other real-world clinical data are essential for clinical research, medical artificial intelligence, and life scien…
arXiv:2603.22928v1 Announce Type: new Abstract: Recent AI systems combine large language models with tools, external knowledge via retrieval-augmented generation (RAG), and even autonomous multi-agent…
arXiv:2603.22868v1 Announce Type: new Abstract: Agentic computing systems, which autonomously spawn new functionalities based on natural language instructions, are becoming increasingly prevalent. Whi…
arXiv:2603.22853v1 Announce Type: new Abstract: What should a developer inspect before deploying an LLM agent: the model, the tool code, the deployment configuration, or all three? In practice, many s…
arXiv:2603.22808v1 Announce Type: new Abstract: We introduce PolyVeil, a protocol for private Boolean summation across $k$ clients that encodes private bits as permutation matrices in the Birkhoff pol…
arXiv:2603.22771v1 Announce Type: new Abstract: As the Internet of Things (IoT) continues to expand across critical infrastructure, smart environments, and consumer devices, securing them against cybe…
arXiv:2603.22751v1 Announce Type: new Abstract: Large language model (LLM) agents may expose sensitive information through more than their final textual responses. Whenever private content is internal…
arXiv:2603.22717v1 Announce Type: new Abstract: Automatically generating source code from natural language using large language models (LLMs) is becoming common, yet security vulnerabilities persist d…
arXiv:2603.22685v1 Announce Type: new Abstract: We present BlindMarket, an end-to-end zero-trust distribution framework for hardware IP cores. BlindMarket allows two parties, the IP user and the IP ve…
arXiv:2603.22612v1 Announce Type: new Abstract: The rapid advancement of Large Language Models (LLMs) in biological research has significantly lowered the barrier to accessing complex bioinformatics k…
arXiv:2603.22603v1 Announce Type: new Abstract: Traditional threat modeling occurs during design, but cloud deployments introduce unanticipated threats, especially multi-stage attacks chaining vulnera…