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arXiv:2510.09093v2 Announce Type: replace Abstract: Large language models (LLMs) are now routinely used to autonomously execute complex tasks, from natural language processing to dynamic workflows lik…
arXiv:2508.21602v3 Announce Type: replace Abstract: In this paper, we present the first explicit examples of low-conductance permutations. The notion of conductance of permutations was introduced by D…
arXiv:2604.09165v1 Announce Type: cross Abstract: Hardware-software contracts are abstract specifications of a CPU's leakage behavior. They enable verifying the security of high-level programs against…
arXiv:2604.09089v1 Announce Type: cross Abstract: Large Language Models (LLMs) for code generation can replicate insecure patterns from their training data. To mitigate this, a common strategy for sec…
arXiv:2604.09024v1 Announce Type: cross Abstract: Multi-modal large language models (MLLMs) have emerged as powerful tools for analyzing Internet-scale image data, offering significant benefits but al…
arXiv:2604.08607v1 Announce Type: cross Abstract: Precise interference detection and identification are crucial for enhancing the survivability of communication systems in non-cooperative wireless env…
arXiv:2604.09541v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) systems deployed across organizational boundaries face fundamental tensions between security, accuracy, and efficie…
arXiv:2604.09489v1 Announce Type: new Abstract: Model poisoning attacks pose a significant security threat to Federated Learning (FL). Most existing model poisoning attacks rely on collusion, requirin…
arXiv:2604.09378v1 Announce Type: new Abstract: Agent ecosystems increasingly rely on installable skills to extend functionality, and some skills bundle learned model artifacts as part of their execut…
arXiv:2604.09316v1 Announce Type: new Abstract: With the release of ChatGPT in 2022, generative AI has significantly lowered the cost of polishing and rewriting text. Due to its widespread usage, conf…
arXiv:2604.09292v1 Announce Type: new Abstract: Restricted Syndrome Decoding (ResSD) is a variant of linear code decoding problem where each of the error's entries must belong to a fixed small set of …
arXiv:2604.09235v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed in settings where Chain-of-Thought (CoT) is interpreted by users. This creates a new safety risk:…
arXiv:2604.09153v1 Announce Type: new Abstract: For risks that cannot be accepted, sufficiently mitigated, or eliminated, continuous observation is a viable approach but requires a model that can be o…
arXiv:2604.09101v1 Announce Type: new Abstract: Organisations with limited data and computational resources increasingly outsource model training to Machine Learning as a Service (MLaaS) providers, wh…
arXiv:2604.09056v1 Announce Type: new Abstract: With the rapid adoption of large language models (LLMs) in financial service scenarios, dialogue security detection under high regulatory risk presents …
arXiv:2604.08862v1 Announce Type: new Abstract: Stringology-Based Cryptanalysis (SBC) offers a suitable and a structurally aligned approach for uncovering structural patterns in stream ciphers that tr…
arXiv:2604.08805v1 Announce Type: new Abstract: In November 2025, the authors ran a workshop on the topic of what makes a good reinforcement learning (RL) environment for autonomous cyber defence (ACD…
arXiv:2604.08800v1 Announce Type: new Abstract: Stepping-stone intrusions (SSIs) are a prevalent network evasion technique in which attackers route sessions through chains of compromised intermediate …
arXiv:2604.08766v1 Announce Type: new Abstract: Scanpath prediction models forecast the sequence and timing of human fixations during visual search, driving foveated rendering and attention-based inte…
arXiv:2604.08739v1 Announce Type: new Abstract: Ransomware poses a serious and fast-acting threat to critical systems, often encrypting files within seconds of execution. Research indicates that ranso…
arXiv:2604.08632v1 Announce Type: new Abstract: Network segmentation is a foundational enterprise security control. Despite its recognized benefits, segmentation initiatives frequently fail in practic…
arXiv:2604.08630v1 Announce Type: new Abstract: We study differentially private data release, where a database is accessed through successive, possibly adaptive queries and mechanisms. Existing compos…
arXiv:2604.08628v1 Announce Type: new Abstract: Unauthorized disclosure of confidential documents demands robust, low-leakage classification. In real work environments, there is a lot of inflow and ou…
arXiv:2604.08612v1 Announce Type: new Abstract: This study aims to enhance the bidirectional authentication capability of ML-KEM (Module-Lattice-Based Key-Encapsulation Mechanism) by proposing the pos…