Mania Africa 💎🌍

Kanchon Gharami, Shafika Showkat Moni: An Efficient Privacy-preserving Intrusion Detection Scheme for UAV Swarm Networks https://arxiv.org/abs/2511.22791 https://arxiv.org/pdf/2511.22791 https://arxiv.org/html/2511.22791

de Jesus Filho, Di Giovanni Bernardo, Gabriel, Zarpel\~ao, Miani: Identification of Malicious Posts on the Dark Web Using Supervised Machine Learning https://arxiv.org/abs/2511.23183 https://arxiv.org/pdf/2511.23183 https://arxiv.org/html/2511.23183

Jiayuan Du, Yiming Zhao, Zhenglong Guo, Yong Pan, Wenbo Hou, Zhihui Hao, Kun Zhan, Qijun Chen: SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model https://arxiv.org/abs/2511.22039 https://arxiv.org/pdf/2511.22039 https://arxiv.org/html/2511.22039

Imraul Emmaka, Tran Viet Xuan Phuong: One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT https://arxiv.org/abs/2511.23252 https://arxiv.org/pdf/2511.23252 https://arxiv.org/html/2511.23252

Aayush Garg, Zanis Ali Khan, Renzo Degiovanni, Qiang Tang: Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities https://arxiv.org/abs/2511.23408 https://arxiv.org/pdf/2511.23408 https://arxiv.org/html/2511.23408

Yu Li, Yuenan Hou, Yingmei Wei, Xinge Zhu, Yuexin Ma, Wenqi Shao, Yanming Guo: MoE3D: Mixture of Experts meets Multi-Modal 3D Understanding https://arxiv.org/abs/2511.22103 https://arxiv.org/pdf/2511.22103 https://arxiv.org/html/2511.22103

Guifeng Wang, Yuanfeng Song, Meng Yang, Tao Zhu, Xiaoming Yin, Xing Chen: Beyond Query-Level Comparison: Fine-Grained Reinforcement Learning for Text-to-SQL with Automated Interpretable Criti... https://arxiv.org/abs/2511.22258 https://arxiv.org/pdf/2511.22258 https://arxiv.org/html/2511.22258

P\"uttmann, Contreras, Kowitz, Lampen, Gupta, Panzeri, Hagemann, Xiong, Hermann, Chen, Chen: Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice https://arxiv.org/abs/2511.22236 https://arxiv.org/pdf/2511.22236 https://arxiv.org/html/2511.22236

Yu, Song, Sun, Yu, Verma, Roy, Negi, Li, Campbell: TTSnap: Test-Time Scaling of Diffusion Models via Noise-Aware Pruning https://arxiv.org/abs/2511.22242 https://arxiv.org/pdf/2511.22242 https://arxiv.org/html/2511.22242

Kiran Nair, Hubert Cecotti: Deep Learning Architectures for Code-Modulated Visual Evoked Potentials Detection https://arxiv.org/abs/2511.21940 https://arxiv.org/pdf/2511.21940 https://arxiv.org/html/2511.21940

Madalina Erascu: Neuro-Symbolic Constrained Optimization for Cloud Application Deployment via Graph Neural Networks and Satisfiability Modulo Theory https://arxiv.org/abs/2511.23109 https://arxiv.org/pdf/2511.23109 https://arxiv.org/html/2511.23109

Hongyu Yang, Chunxi Wen, Jiyin Zhang, Nanfei Shen, Shijiao Zhang, Xiyan Han: CTR Prediction on Alibaba's Taobao Advertising Dataset Using Traditional and Deep Learning Models https://arxiv.org/abs/2511.21963 https://arxiv.org/pdf/2511.21963 https://arxiv.org/html/2511.21963

Cao, Mei, Li, Li, Zhang, Li, Zhang, Ding, Wang, Lyu, Wu: REVEAL: Reasoning-enhanced Forensic Evidence Analysis for Explainable AI-generated Image Detection https://arxiv.org/abs/2511.23158 https://arxiv.org/pdf/2511.23158 https://arxiv.org/html/2511.23158

A Practical Guide to Authentication and Session Management Vulnerabilities A step-by-step breakdown of the most common Session Management Vulnerabilities Continue reading on InfoSec Write-ups »

#technology #programming #cybersecurity #bug-bounty #penetration-testing

Origin | Interest | Match

Saad Masrur, Ismail Guvenc, David Lopez Perez: Energy Efficient Sleep Mode Optimization in 5G mmWave Networks via Multi Agent Deep Reinforcement Learning https://arxiv.org/abs/2511.22105 https://arxiv.org/pdf/2511.22105 https://arxiv.org/html/2511.22105

Zhou Biyan, Arindam Basu: An energy-efficient spiking neural network with continuous learning for self-adaptive brain-machine interface https://arxiv.org/abs/2511.22108 https://arxiv.org/pdf/2511.22108 https://arxiv.org/html/2511.22108

Yao, Wang, Wu, Song, Chen, Wang, Tian, Chen, Li, Li: FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning https://arxiv.org/abs/2511.22265 https://arxiv.org/pdf/2511.22265 https://arxiv.org/html/2511.22265

Tang, Liu, Li, Wu, Yang, Zhao, Gong, Yuan, Shao, Lu: Hunyuan-GameCraft-2: Instruction-following Interactive Game World Model https://arxiv.org/abs/2511.23429 https://arxiv.org/pdf/2511.23429 https://arxiv.org/html/2511.23429

Arbaoui, Brahmia, Rahmoun, Zghal: Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers https://arxiv.org/abs/2511.22616 https://arxiv.org/pdf/2511.22616 https://arxiv.org/html/2511.22616

Ariful Islam, Md Rifat Hossen, Tanvir Mahmud: BanglaSentNet: An Explainable Hybrid Deep Learning Framework for Multi-Aspect Sentiment Analysis with Cross-Domain Transfer Learning https://arxiv.org/abs/2511.23264 https://arxiv.org/pdf/2511.23264 https://arxiv.org/html/2511.23264

Hang Yu, Di Zhang, Qiwei Du, Yanping Zhao, Hai Zhang, Guang Chen, Eduardo E. Veas, Junqiao Zhao: ASTRO: Adaptive Stitching via Dynamics-Guided Trajectory Rollouts https://arxiv.org/abs/2511.23442 https://arxiv.org/pdf/2511.23442 https://arxiv.org/html/2511.23442

Zixue Zeng, et al.: LAYER: A Quantitative Explainable AI Framework for Decoding Tissue-Layer Drivers of Myofascial Low Back Pain https://arxiv.org/abs/2511.21767 https://arxiv.org/pdf/2511.21767 https://arxiv.org/html/2511.21767

Alif Ilham Madani, Riska A. Kuswati, Alex M. Lechner, Muhamad Risqi U. Saputra: Digital Elevation Model Estimation from RGB Satellite Imagery using Generative Deep Learning https://arxiv.org/abs/2511.21985 https://arxiv.org/pdf/2511.21985 https://arxiv.org/html/2511.21985

Artyom Tsanda, Sarah Reiss, Marija Boberg, Tobias Knopp: Deep Learning for Restoring MPI System Matrices Using Simulated Training Data https://arxiv.org/abs/2511.23251 https://arxiv.org/pdf/2511.23251 https://arxiv.org/html/2511.23251

Yukta Pareek, Khadija Omar Said, Satadru Dey, Ashish Ranjan Kumar: A Cyber-Physical Systems Framework for Tracking Post Thermal-Runaway Temperature and Smoke Dynamics in Underground Mines https://arxiv.org/abs/2511.22721 https://arxiv.org/pdf/2511.22721 https://arxiv.org/html/2511.22721

Beware of Weaponized Google Meet Page uses ClickFix Technique to deliver Malicious Payload:

cybersecuritynews.com/weaponized-g...

Ratun Rahman, Dinh C. Nguyen, Christo Kurisummoottil Thomas, Walid Saad: Towards Heterogeneous Quantum Federated Learning: Challenges and Solutions https://arxiv.org/abs/2511.22148 https://arxiv.org/pdf/2511.22148 https://arxiv.org/html/2511.22148

Tobias Meuser, Jannis Weil, Aninda Lahiri, Marius Paraschiv: RELiQ: Scalable Entanglement Routing via Reinforcement Learning in Quantum Networks https://arxiv.org/abs/2511.22321 https://arxiv.org/pdf/2511.22321 https://arxiv.org/html/2511.22321

Hamid Ismail, Marwan Bikdash: deepFEPS: Deep Learning-Oriented Feature Extraction for Biological Sequences https://arxiv.org/abs/2511.22821 https://arxiv.org/pdf/2511.22821 https://arxiv.org/html/2511.22821

Yingjue Bian, Tianye Wang, Shiming Tang, Tai Sing Lee: Integrative characterization of the topography of V4 neural codes using deep learning approaches https://arxiv.org/abs/2511.22050 https://arxiv.org/pdf/2511.22050 https://arxiv.org/html/2511.22050

Mikhail Sergeev, Georgii Paradezhenko, Daniil Rabinovich, Vladimir V. Palyulin: Distributed quantum architecture search using multi-agent reinforcement learning https://arxiv.org/abs/2511.22708 https://arxiv.org/pdf/2511.22708 https://arxiv.org/html/2511.22708

‘Security Disaster’—500 Million Microsoft Users Say No To Windows 11



Do you have one of the PCs at risk? NurPhoto via Getty Images Microsoft’s “looming security disaster” is…

AI agents see explosive growth on AWS Marketplace – over 40x the team’s initial targets



AWS When AWS Marketplace was preparing to launch a directory of AI agents on its cloud platform in…

New Albiriox Malware attacking Android Users to Take Complete Control of their Device:

cybersecuritynews.com/albiriox-mal...

Google’s New Gmail Update—2 Billion Users Must Now Decide share.google/IOBi1mwBLRwl...

CISA warns of OpenPLC ScadaBR cross-site scripting vulnerability exploited in Attacks:

cybersecuritynews.com/cisa-openplc...

PoC Exploit released for Critical Outlook 0-Click Remote Code Execution Vulnerability:

cybersecuritynews.com/outlook-remo...

Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis, Evert van Nieuwenburg, Mark H. M. Winands
Nonstabilizerness Estimation using Graph Neural Networks
https://arxiv.org/abs/2511.23224

Register for MCP Connect London on December 9 👉 luma.com/iu3qcxai
MCP is evolving fast, and the best way to keep up is learning from teams actually building with it. Beyond the talks, expect meaningful discussions with others building MCP servers, integrating agents into workflows, and, good food!

Simplify IAM policy creation with IAM Policy Autopilot, a new open source MCP server for builders
aws.amazon.com/blogs/aws/si...

The right agentic framework isn’t just about popularity; it’s about architecture.

To choose the right framework, read our latest blog to learn about the difference between LangChain and AutoGen: bitl.to/5NvG

#LangChain #AutoGen

www.marktechpost.com/2025/11/28/a...

GitLabの公開リポジトリで17,000件以上の機密情報が漏洩

Public GitLab repositories exposed more than 17,000 secrets #BleepingComputer (Nov 28)

www.bleepingcomputer.com/news/securit...

Week in review: Fake “Windows Update” fuels malware, Salesforce details Gainsight breach

Here’s an overview of some of last week’s most interesting news, articles, interviews and videos: Quantum encryption is pushing satellite hardware to its limits In this Help Net Security inte…
#hackernews #news

Ane Sanz, Eire Salegi, Asier Atutxa, David Franco, Jasone Astorga, Eduardo Jacob
Extending Quantum-Safe Communications to Real-World Networks: An Adaptive Security Framework
https://arxiv.org/abs/2511.22416

Bokang Zhang, Chaojun Lu, Jianhui Li, Junfeng Wu
Exposing Vulnerabilities in RL: A Novel Stealthy Backdoor Attack through Reward Poisoning
https://arxiv.org/abs/2511.22415

Aaron Steiner, Ralph Peeters, Christian Bizer
MCP vs RAG vs NLWeb vs HTML: A Comparison of the Effectiveness and Efficiency of Different Agent Interfaces to the Web (Technical Report)
https://arxiv.org/abs/2511.23281

SmartTube Compromised

#HackerNews

https://www.aftvnews.com/smarttubes-official-apk-was-compromised-with-malware-what-you-should-do-if-you-use-it/https://www.aftvnews.com/smarttubes-official-apk-was-compromised-with-malware-what-you-should-do-if-you-use-it/

bostonrealestatetimes.com/ai-is-rewrit...

Saying 'no' too often drives risk into shadow IT. To nurture security #innovation, CISOs must encourage open dialogue & harness #risk with clear parameters.
#CyberSecurity #ShadowIT #Collaboration

📰Latest News Alert

Govt gives smartphone makers 90 days to preload govt cyber security app . The Centre has reportedly asked phone makers to preload its... www.business-standar...

“An AI agent making autonomous decisions carries your brand’s reputation with every action […]

The question shifts from "which AI is smartest?" to "whose AI do I trust with my business?"

Excellent article in Forbes this morning.

www.forbes.com/sites/steven...