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Before you head out for the weekend, check out today's Metacurity for the most critical infosec developments you should know, including
--FBI seized domains for the BreachForums hacking forum operated by ShinyHunters,
--Over 100 companies affected by Cl0p attack on Oracle business products,
--All SonicWall firewall users were affected by last month's breach,
--Pro-Russian DDoS player TwoNet now targets critical infrastructure,
--Storm-2657 engages in pira…

FBI seized domains for the BreachForums hacking forum operated by ShinyHunters
100+ companies affected by Cl0p attack on Oracle business products, All SonicWall firewall users were affected by last month's breach, Pro-Russian DDoS player TwoNet now targets CI, Storm-2657 engages in pirate payroll attacks, ClayRat Android malware poses as popular apps, much more

Introspection in Learned Semantic Scene Graph Localisation
Manshika Charvi Bissessur, Efimia Panagiotaki, Daniele De Martini
https://arxiv.org/abs/2510.07053 https://

Introspection in Learned Semantic Scene Graph Localisation
This work investigates how semantics influence localisation performance and robustness in a learned self-supervised, contrastive semantic localisation framework. After training a localisation network on both original and perturbed maps, we conduct a thorough post-hoc introspection analysis to probe whether the model filters environmental noise and prioritises distinctive landmarks over routine clutter. We validate various interpretability methods and present a comparative reliability analysis. …

"Ist Avocado #Obst oder #Gemüse? Was #Avocados uns über Semantik lehren" @ [di.t͡svi.blΩ]:

Semantic Segmentation Algorithm Based on Light Field and LiDAR Fusion
Jie Luo, Yuxuan Jiang, Xin Jin, Mingyu Liu, Yihui Fan
https://arxiv.org/abs/2510.06687 https://

Semantic Segmentation Algorithm Based on Light Field and LiDAR Fusion
Semantic segmentation serves as a cornerstone of scene understanding in autonomous driving but continues to face significant challenges under complex conditions such as occlusion. Light field and LiDAR modalities provide complementary visual and spatial cues that are beneficial for robust perception; how- ever, their effective integration is hindered by limited viewpoint diversity and inherent modality discrepancies. To address these challenges, the first multimodal semantic segmentation datase…

Implementing Semantic Join Operators Efficiently
Immanuel Trummer
https://arxiv.org/abs/2510.08489 https://arxiv.org/pdf/2510.08489

Implementing Semantic Join Operators Efficiently
Semantic query processing engines often support semantic joins, enabling users to match rows that satisfy conditions specified in natural language. Such join conditions can be evaluated using large language models (LLMs) that solve novel tasks without task-specific training. Currently, many semantic query processing engines implement semantic joins via nested loops, invoking the LLM to evaluate the join condition on row pairs. Instead, this paper proposes a novel algorithm, inspired by the bl…

A group of American investors led by Hollywood producer Robert Simonds has agreed to acquire NSO Group in a deal valued at "several tens of millions of dollars" (Omer Kabir/CTech)
https://www.calcalistech.com/ctechnews/article/s1jgvmitgx

NSO to be acquired by U.S. investors, ending Israeli control of Pegasus maker
Hollywood producer Robert Simonds leads the deal, subject to Israeli and U.S. regulatory review.

A Theoretically-Grounded Codebook for Digital Semantic Communications
Lingyi Wang, Rashed Shelim, Walid Saad, Naren Ramakrishnan
https://arxiv.org/abs/2510.07108 https://…

A Theoretically-Grounded Codebook for Digital Semantic Communications
The use of a learnable codebook provides an efficient way for semantic communications to map vector-based high-dimensional semantic features onto discrete symbol representations required in digital communication systems. In this paper, the problem of codebook-enabled quantization mapping for digital semantic communications is studied from the perspective of information theory. Particularly, a novel theoretically-grounded codebook design is proposed for jointly optimizing quantization efficiency…

LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
Hacane Hechehouche, Andre Antakli, Matthias Klusch
https://arxiv.org/abs/2510.06911 https://

LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
There are many established semantic Web standards for implementing multi-agent driven applications. The AJAN framework allows to engineer multi-agent systems based on these standards. In particular, agent knowledge is represented in RDF/RDFS and OWL, while agent behavior models are defined with Behavior Trees and SPARQL to access and manipulate this knowledge. However, the appropriate definition of RDF/RDFS and SPARQL-based agent behaviors still remains a major hurdle not only for agent modeler…

Forget about nation-states for a moment: The top four items in today's Metacurity all deal with serious cybersecurity threats emanating from teen hackers.
Don't miss today's issue for the complete run-down of infosec developments you should know, including
--ShinyHunters threatens to release data stolen from dozens of Fortune 500 firms,
--Salesforce refuses to pay ShinyHunters ransom,
--Qantas braces for the release of its data,
--Two teens busted for…

ShinyHunters threatens to release data stolen from dozens of Fortune 500 firms
Salesforce refuses to pay ShinyHunters ransom, Qantas braces for the release of its data, Two teens busted for Kido nurseries cyberattack, Qilin claims attack on Asahi, Chinese hackers infiltrated Williams & Connolly, DPRK hackers have stolen $2b in crypto so far in 2025, much more