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De Bortoli cita Quinta
by Giuseppe Attardi Feb. 4, 2025

Feb. 4, 2025

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Diversi maintainer russi rimossi dal Kernel Linux
by Antonio Feb. 3, 2025

Feb. 3, 2025

"... Riguardo all'invio di una patch per annullare il cambiamento, vi invito a usare il cervello. Sono finlandese. Pensavate davvero che supportassi l’aggressione russa? A quanto pare, oltre a mancarvi delle notizie vere, vi manca anche la conoscenza della storia." - Linus Torvalds l'articolo completo qui: https://www.miamammausalinux.org/2024/10/diversi-maintainers-russi-sono-sta… A.

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"US Cloud soon illegal? Trump punches first hole in EU-US Data Deal"
by J.C. DE MARTIN Feb. 3, 2025

Feb. 3, 2025

*US Cloud soon illegal? Trump punches first hole in EU-US Data Deal* 23 January 2025 /Since the Snowden disclosures we know that the US engages in mass surveillance of EU users by scooping up personal data from US Big Tech. The "Privacy and Civil Liberties Oversight Board" (PCLOB) is the key US oversight authority for these laws. US media now reports, that Democratic members of the PCLOB got removed and their email accounts shut down. This brings the number of appointed Members below the threshold to have the PCLOB operate. The fact that the US President simply removed people from an (allegedly) independent authority, question the independence of all other executive redress bodies in the US. The European Union has relied on these US boards and tribunals to find that the US provides "adequate" protection of personal data. Relying on the PCLOB and other mechanisms, the EU Commission allows European personal data to flow freely to the US in the so-called "Transatlantic Data Privacy Framework" (TADPF). The PCLOB is the only relevant "oversight" element of the deal. Other elements are just acting as recourse bodies. Thousands of EU businesses, government agencies or schools rely on these provisions. Without the TADPF, they would need to stop using US cloud providers like Apple, Google, Microsoft or Amazon instantly. / continua qui: https://noyb.eu/en/us-cloud-soon-illegal-trump-punches-first-hole-eu-us-dat…

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180° Mercoledì di Nexa | 12 febbraio 2025, ore 17.00
by Nexa - Media Feb. 3, 2025

Feb. 3, 2025

Gentilissime, gentilissimi, Vi invitiamo a partecipare al 180° Mercoledì di Nexa, che si terrà mercoledì 12 febbraio, alle ore 17.00, con un incontro dal titolo "Free/Libre software and freedom in the digital society". Ospite dell'incontro: Dr. Richard Stallman (Founder of the Free Software Foundation, Founder and development leader of the GNU operating system). L'incontro si terrà IN PRESENZA e ONLINE. SEDE FISICA dell'incontro: Aula 27<https://www.polito.it/en/maps?bl_id=TO_CEN05&fl_id=XPTE&rm_id=B056>, Sede Centrale del Politecnico di Torino (primo piano) - Corso Castelfidardo 39, Torino (MAPPA<https://www.google.com/maps/place/45%C2%B003'45.8%22N+7%C2%B039'35.2%22E/@45.0627102,7.6597771,17z/data=!3m1!4b1!4m4!3m3!8m2!3d45.0627102!4d7.6597771?entry=ttu&g_ep=EgoyMDI1MDEyMC4wIKXMDSoASAFQAw%3D%3D>) STANZA VIRTUALE dell'incontro: https://didattica.polito.it/VClass/NexaEvent Di seguito maggiori dettagli: https://nexa.polito.it/mercoledi-180 L'incontro si terrà in lingua inglese. Cordiali saluti, -- Valeria Bergantino Communication Manager Nexa Center for Internet & Society Politecnico di Torino - DAUIN Via Pier Carlo Boggio, 65/A - 10138 Torino web: https://nexa.polito.it/ mail: valeria.bergantino(a)polito.it<mailto:valeria.bergantino@polito.it> tel: 3473443585

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GIG-ARTS Salerno 2025: Deadline extended to February 7
by Mauro SANTANIELLO Jan. 31, 2025

Jan. 31, 2025

Due to multiple requests, we are pleased to announce that the deadline for abstract submissions for the GIG-ARTS Salerno 2025 Conference has been extended to February 7, 2025, at midnight CET. We invite authors to submit extended abstracts (maximum 500 words) outlining their research question(s), theoretical framework, approach and methodology, and expected findings or empirical outcome. All submissions will undergo a peer-review process. Submit your abstract here: https://conftool2025.gig-arts.eu/ Further information on the Conference here: https://gig-arts.eu/ *Main theme: “The rise of digital sovereignty: ambiguities and challenges.”* Key Dates: Notification to authors: 1 April 2025 Deadline for author registration: 14 April 2025 Programme publication: 20 April 2025 Registration deadline: 15 May 2025 Conference dates: 26-27 May 2025 We look forward to your contributions and hope to see you in Salerno! Best regards, The Organizing Committee GIG-ARTS SALERNO 2025

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"OpenAI Furious DeepSeek Might Have Stolen All the Data OpenAI Stole From Us"
by J.C. DE MARTIN Jan. 31, 2025

Jan. 31, 2025

*OpenAI Furious DeepSeek Might Have Stolen All the Data OpenAI Stole From Us* /OpenAI shocked that an AI company would train on someone else's data without permission or compensation./ Jason Koebler Jan 29, 2025 at 9:43 AM The narrative that OpenAI, Microsoft, and freshly minted White House “AI czar” David Sacks are now pushing to explain why DeepSeek was able to create a large language model that outpaces OpenAI’s while spending orders of magnitude less money and using older chips is that DeepSeek used OpenAI’s data unfairly and without compensation. Sound familiar? Both Bloomberg and the Financial Times are reporting that Microsoft and OpenAI have been probing whether DeepSeek improperly trained the R1 model that is taking the AI world by storm on the outputs of OpenAI models. [...] continua qui: https://www.404media.co/openai-furious-deepseek-might-have-stolen-all-the-d…

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saluti Intelligence e università
by Mauro Alovisio Jan. 30, 2025

Jan. 30, 2025

Gent.mi segnalo articolo di interesse del Prof. Roberto Caso su un disegno di legge su obbligo di collaborazione delle università e ielle società pubbliche con i servizi segreti https://www.agendadigitale.eu/sicurezza/privacy/ddl-sicurezza-e-intelligenc… Cordiali saluti

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Nuovo Community Article "Anticipare il rischio: come il foresight può supportare la normativa in ambito digitale"
by Nexa - Media Jan. 30, 2025

Jan. 30, 2025

Gentilissime, gentilissimi, Vi segnaliamo con piacere la pubblicazione di un nuovo Community Article, dal titolo "Anticipare il rischio: come il foresight può supportare la normativa in ambito digitale", a cura di Stefano Leucci e Giuseppe Vaciago, entrambi Fellow del Centro Nexa. L'articolo è consultabile al seguente link: https://nexa.polito.it/anticipare-il-rischio/ Vi ringraziamo per l'attenzione, Un saluto cordiale, -- Valeria Bergantino Communication Manager Nexa Center for Internet & Society Politecnico di Torino - DAUIN Via Pier Carlo Boggio, 65/A - 10138 Torino web: https://nexa.polito.it/ mail: valeria.bergantino(a)polito.it<mailto:valeria.bergantino@polito.it> tel: 3473443585

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[CfP COMNET SI] [SHORT FINAL DEADLINE EXTENSION - February 14, 2025] Elsevier COMNET Special Issue on Generative and Explainable AI for Internet Traffic and Network Architectures
by Antonio Montieri Jan. 30, 2025

Jan. 30, 2025

Dear colleagues, Our apologies if you receive multiple copies of this message. ********************************************************************** CALL FOR PAPERS Special Issue on Generative and Explainable AI for Internet Traffic and Network Architectures Elsevier Computer Networks https://www.sciencedirect.com/journal/computer-networks/about/call-for-pape… *(EXTENDED Submission deadline: February 14, 2025)* ********************************************************************** We are pleased to announce a call for papers for a special issue of Elsevier Computer Networks journal, focusing on the transformative potential of generative and explainable AI in Internet traffic analysis and network architectures. As Internet-connected devices multiply and traffic data grows exponentially, traditional methods are increasingly challenged. This special issue aims to highlight how generative AI can synthesize realistic traffic data, automate network configurations, and enhance security measures. Additionally, explainable AI can provide deeper insights into network behaviors, improving transparency, trust, and overall network performance. We invite you to contribute to this pioneering special issue and lead the advancement of AI-driven innovations in Internet traffic analysis and network architectures. Key Topics of Interest include but are not limited to the following: ----------------------- - Generative AI methods to synthesize realistic and diverse traffic data - Automatic network configuration and management utilizing Generative AI - Applications of Large Language Models (LLMs) in network traffic generation - Prompt Engineering for LLMs in network traffic analysis, management, and security - Generative AI for enhancing network security and intrusion detection - Assessing the robustness and reliability of Generative AI in network management, including standardized benchmarks and datasets - Explainable AI techniques for network traffic analysis and management tools - Human-in-the-loop AI and the integration of interpretability into AI-driven traffic analysis - Ensuring fairness, accountability, and transparency in AI applications for networking - Real-world applications and case studies showcasing Generative and Explainable AI in network traffic analysis, management, and security - Bridging the gap between network data explanation and actionable interpretability - Techniques for improving the trust and practical use of data-driven network analysis methods Guest Editors: -------------- - Antonio Montieri, PhD - Università degli Studi di Napoli Federico II, Napoli, Italy (antonio.montieri(a)unina.it) - Danilo Giordano, PhD - Politecnico di Torino, Torino, Italy (danilo.giordano(a)polito.it) - Claudio Fiandrino, PhD - IMDEA Networks Institute, Madrid, Spain (claudio.fiandrino(a)imdea.org) - Jonatan Krolikowski, PhD - Huawei Technologies France SAS, Boulogne Billancourt, France (jonatan.krolikowski(a)huawei.com) Important Dates: ---------------- - Submission Open Date: July 1, 2024 - Final Manuscript Submission Deadline: February 14, 2025 (EXTENDED) - Editorial Acceptance Deadline: May 15, 2025 Manuscript Submission Information: ----------------------------------- The journal's submission platform (https://www.editorialmanager.com/comnet/default.aspx) is available for receiving submissions to this Special Issue from July 1st, 2024. Authors are advised to follow the Guide for Authors to prepare their manuscripts and select the article type “VSI: GenXAI for Internet” when submitting online. More information about the Special Issue, the Guide for Authors, and the submission portal are available at the following link: https://www.sciencedirect.com/journal/computer-networks/about/call-for-pape… ********************************************************************** SPECIAL ISSUE DETAILS ********************************************************************** In the realm of Internet traffic analysis, the advent of Artificial Intelligence (AI) has marked a significant paradigm shift. With the proliferation of Internet-connected devices and the exponential growth of traffic data, traditional traffic analysis methods are struggling to cope with the sheer volume and complexity of modern networks. Moreover, the dynamic nature of Internet traffic patterns and the emergence of sophisticated cyber threats further exacerbate the challenges faced by network operators and cybersecurity professionals. In response, there is a pressing need for advanced analytical tools that can provide accurate Internet traffic “visibility”, enable actionable insights into traffic behavior, identify anomalies and intrusions, and ultimately enhance network security and performance. On the other hand, the collection, segmentation, and labeling of traffic datasets are cumbersome processes, often requiring human experts to guide the different stages. Additionally, factors like the dynamic nature of traffic, privacy concerns, and the limited samples of certain traffic types (e.g., network attacks, IoT devices) further challenge data collection. Moreover, while data-driven techniques have the potential for outstanding performance and adaptability, they often operate as black-box systems, making it difficult to understand their behavior, improve their performance, or protect them from potential attacks. This limits the interpretability and trust in these methods, affecting their practical use. The integration of generative and explainable AI techniques presents a promising avenue for addressing these challenges. By harnessing the power of AI to generate realistic traffic data and provide interpretable insights, researchers and practitioners can overcome the limitations of traditional traffic analysis methods. Generative AI models enable the creation of diverse and representative traffic datasets, facilitating the training of AI-driven models for intrusion detection and network optimization. Meanwhile, explainable AI techniques enhance the transparency and trustworthiness of AI-driven traffic analysis, enabling network operators to understand and interpret the decisions made by AI methods. This special issue aims to delve into the methodological, technical, and practical aspects of leveraging generative and explainable AI for Internet traffic analysis and network architectures. By focusing on these cutting-edge topics, we seek to provide a platform for researchers and practitioners to explore innovative approaches, share insights, and advance state of the art. The special issue will encompass a wide range of themes, including AI-driven generation of standardized traffic datasets, network management aided by generative AI, interpretable and trustworthy AI solutions for Internet traffic analysis, and real-world applications of generative and explainable AI in network optimization and security. ********************************************************************** -- *Antonio Montieri, Ph.D.* *Assistant Professor (RTDa)* *Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI)University of Napoli Federico IIVia Claudio 21 -- 80125 Napoli (Italy)Phone: +39 081 76 83821 - Fax: +39 081 76 83816Email: antonio.montieri(a)unina.it <antonio.montieri(a)unina.it> <antonio.montieri(a)unina.it>WWW: http://wpage.unina.it/antonio.montieri <http://wpage.unina.it/antonio.montieri> <http://wpage.unina.it/antonio.montieri>* *Skype ID: antmontieri*

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Apple chips can be hacked to leak secrets from Gmail, iCloud, and more
by Giacomo Tesio Jan. 30, 2025

Jan. 30, 2025

Apple-designed chips powering Macs, iPhones, and iPads contain two newly discovered vulnerabilities that leak credit card information, locations, and other sensitive data from the Chrome and Safari browsers as they visit sites such as iCloud Calendar, Google Maps, and Proton Mail. The vulnerabilities, affecting the CPUs in later generations of Apple A- and M-series chip sets, open them to side channel attacks, a class of exploit that infers secrets by measuring manifestations such as timing, sound, and power consumption. Both side channels are the result of the chips’ use of speculative execution, a performance optimization that improves speed by predicting the control flow the CPUs should take and following that path, rather than the instruction order in the program. continua su <https://arstechnica.com/security/2025/01/newly-discovered-flaws-in-apple-ch…> se usate iCosi, attenti ai siti che visitate. Giacomo

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