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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…
arXiv:2604.08608v1 Announce Type: new Abstract: We introduce Semantic Intent Fragmentation (SIF), an attack class against LLM orchestration systems where a single, legitimately phrased request causes …
arXiv:2604.08551v1 Announce Type: new Abstract: We investigate the emerging prospect of self-sovereign agents -- AI systems that can economically sustain and extend their own operation without human i…
Telegram founder Pavel Durov has accused WhatsApp of perpetrating what he calls “the biggest consumer fraud in history,” alleging that the platform’s widely marketed end-to-end encryption (E2EE) claim…
In this Help Net Security interview, Archit Lohokare, CEO of AppViewX, explains how the rise of AI marked a turning point where machine and AI agent identities began converging into a single problem. …
Quantum Computing ETFs Are Dying. Pivot to These 3 AI ETFs 24/7 Wall St.
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Enterprise data loss prevention market to reach $6.265 billion by 2026 Help Net Security
The 2026 Security 100 crn.com