Deep Diving Into Data Protection

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Deep Diving Into Data Protection
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Author : Jean Herveg
language : en
Publisher: Éditions Larcier
Release Date : 2022-03-24
Deep Diving Into Data Protection written by Jean Herveg and has been published by Éditions Larcier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-24 with Law categories.
This book celebrates the 40th anniversary of the creation of the CRID and the 10th anniversary of its successor, the CRIDS. It gathers twenty-one very high quality contributions on extremely interesting and topical aspects of data protection. The authors come from Europe as well as from the United States of America and Canada. Their contributions have been grouped as follows: 1° ICT Governance; 2° Commodification & Competition; 3° Secret surveillance; 4° Whistleblowing; 5° Social Medias, Web Archiving & Journalism; 6° Automated individual decision-making; 7° Data Security; 8° Privacy by design; 9° Health, AI, Scientific Research & Post-Mortem Privacy. This book is intended for all academics, researchers, students and practitioners who have an interest in privacy and data protection.
Deep Driving Into Data Protection 2020 1979 2019 Celebrating 40 Years Of Privacy And Data Protection At The Crids
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Author : Jean Herveg
language : en
Publisher:
Release Date : 2021
Deep Driving Into Data Protection 2020 1979 2019 Celebrating 40 Years Of Privacy And Data Protection At The Crids written by Jean Herveg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Dix-sept contributions offrant des analyses approfondies en matière de protection des données sur des sujets qui font l'actualité en droit des technologies et de l'information.
Coherence Between Data Protection And Competition Law In Digital Markets
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Author : Klaudia Majcher
language : en
Publisher: Oxford University Press
Release Date : 2023-09-28
Coherence Between Data Protection And Competition Law In Digital Markets written by Klaudia Majcher and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-28 with Law categories.
In digital markets, data protection and competition law affect each other in diverse and intricate ways. Their entanglement has triggered a global debate on how these two areas of law should interact to effectively address new harms and ensure that the digital economy flourishes. Coherence between Data Protection and Competition Law in Digital Markets offers a blueprint for bridging the disconnect between data protection and competition law and ensuring a coherent approach towards their enforcement in digital markets. Specifically, this book focuses on the evolution of data protection and competition law, their underlying rationale, their key features and common objectives, and provides a series of examples to demonstrate how the same empirical phenomena in digital markets pose a common challenge to protecting personal data and promoting market competitiveness. A panoply of theoretical and empirical commonalities between these two fields of law, as this volume shows, are barely mirrored in the legal, enforcement, policy, and institutional approaches in the EU and beyond, where the silo approach continues to prevail. The ideas that Majcher puts forward for a more synergetic integration of data protection and competition law are anchored in the concept of 'sectional coherence'. This new coherence-centred paradigm reimagines the interpretation and enforcement of data protection and competition law as mutually cognizant and reciprocal, allowing readers to explore, in an innovative way, the interface between these legal fields and identify positive interactions, instead of merely addressing inconsistencies and tensions. This book reflects on the conceptual, practical, institutional, and constitutional implications of the transition towards coherence and the relevance of its findings for other jurisdictions.
Data Protection Privacy And Artificial Intelligence Volume 17
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Author : Eleni Kosta
language : en
Publisher: Bloomsbury Publishing
Release Date : 2025-05-01
Data Protection Privacy And Artificial Intelligence Volume 17 written by Eleni Kosta and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Law categories.
This book examines the discourse and developments surrounding privacy and data protection in the digital realm, featuring papers and discussions from the 2024 CPDP.ai international conference. The question of governance-whether to lead or be led-has never been more relevant. Thus, the book not only addresses privacy and data protection, but also highlights issues related to the governance of artificial intelligence and the regulatory changes introduced by the EU AI Act. The book features comprehensive discussions on the adequacy and effectiveness of the governance mechanisms established by the EU AI Act, particularly emphasising standardisation, co-regulation, and human oversight, while also identifying existing gaps in protection. Additionally, it pays special attention to the risks to fundamental rights associated with AI usage by law enforcement agencies, examining whether the current legal framework sufficiently safeguards against these risks. Finally, the book provides an in-depth exploration of deepnude and deepfake technology that generates nude images, as well as the role of AI in the EU's migration management systems. The chapters in this book provide readers with an opportunity to explore the challenges and developments related to privacy, data protection, and artificial intelligence. By presenting academic insights alongside contributions from practitioners, civil society, and the European Data Protection Supervisor, this interdisciplinary volume encapsulates the essence of the CPDP.ai 2024 conference.
European Union Health Law
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Author : Herman Nys
language : en
Publisher: Kluwer Law International B.V.
Release Date : 2024-09-17
European Union Health Law written by Herman Nys and has been published by Kluwer Law International B.V. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-17 with Law categories.
Derived from the renowned multi-volume International Encyclopaedia of Laws, this convenient volume provides comprehensive analysis of the law at EU level affecting the physician-patient relationship and the interaction of physicians with other healthcare providers and the healthcare system. Although the legal aspects of healthcare in Europe most often fall under national law, the past two decades have witnessed the emergence of a distinctive field of EU health law with its own underlying principles and structural coherence, founded in a series of directives and CJEU decisions. This book examines the areas in which EU law now must be taken into account in healthcare, including aspects of patients’ rights, recognition of professional qualifications and minimum training conditions, professional rules of conduct, clinical trials and investigations of medicinal products and medical devices, health and genetic data, and beginning and end of life issues. Succinct and practical, this book will prove to be of great value to professional organizations of physicians, nurses, hospitals, and relevant government agencies. Lawyers representing parties with interests in the European Union will welcome this very useful guide, and academics and researchers will appreciate its comparative value as a contribution to the study of health law and medical law in the international context.
Privacy Preserving Machine Learning
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Author : Srinivasa Rao Aravilli
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-24
Privacy Preserving Machine Learning written by Srinivasa Rao Aravilli and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-24 with Computers categories.
Gain hands-on experience in data privacy and privacy-preserving machine learning with open-source ML frameworks, while exploring techniques and algorithms to protect sensitive data from privacy breaches Key Features Understand machine learning privacy risks and employ machine learning algorithms to safeguard data against breaches Develop and deploy privacy-preserving ML pipelines using open-source frameworks Gain insights into confidential computing and its role in countering memory-based data attacks Purchase of the print or Kindle book includes a free PDF eBook Book Description– In an era of evolving privacy regulations, compliance is mandatory for every enterprise – Machine learning engineers face the dual challenge of analyzing vast amounts of data for insights while protecting sensitive information – This book addresses the complexities arising from large data volumes and the scarcity of in-depth privacy-preserving machine learning expertise, and covers a comprehensive range of topics from data privacy and machine learning privacy threats to real-world privacy-preserving cases – As you progress, you’ll be guided through developing anti-money laundering solutions using federated learning and differential privacy – Dedicated sections will explore data in-memory attacks and strategies for safeguarding data and ML models – You’ll also explore the imperative nature of confidential computation and privacy-preserving machine learning benchmarks, as well as frontier research in the field – Upon completion, you’ll possess a thorough understanding of privacy-preserving machine learning, equipping them to effectively shield data from real-world threats and attacks What you will learn Study data privacy, threats, and attacks across different machine learning phases Explore Uber and Apple cases for applying differential privacy and enhancing data security Discover IID and non-IID data sets as well as data categories Use open-source tools for federated learning (FL) and explore FL algorithms and benchmarks Understand secure multiparty computation with PSI for large data Get up to speed with confidential computation and find out how it helps data in memory attacks Who this book is for – This comprehensive guide is for data scientists, machine learning engineers, and privacy engineers – Prerequisites include a working knowledge of mathematics and basic familiarity with at least one ML framework (TensorFlow, PyTorch, or scikit-learn) – Practical examples will help you elevate your expertise in privacy-preserving machine learning techniques
Deep Diving Into Data Protection
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Author :
language : fr
Publisher:
Release Date : 2021
Deep Diving Into Data Protection written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Data protection categories.
"This book celebrates the 40th anniversary of the creation of the CRID and the 10th anniversary of its successor, the CRIDS. It gathers twenty-one very high quality contributions on extremely interesting and topical aspects of data protection. The authors come from Europe as well as from the United States of America and Canada. Their contributions have been grouped as follows : 1° ICT Governance; 2° Commodification & Competition; 3° Secret surveillance; 4° Whistleblowing; 5° Social Medias, Web Archiving & Journalism; 6° Automated individual decision-making; 7° Data Security; 8° Privacy by design; 9° Health, AI, Scientific Research & Post-Mortem Privacy. This book is intended for all academics, researchers, students and practitioners who have an interest in privacy and data protection."--
The Routledge Companion To Transnational Web Archive Studies
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Author : Susan Aasman
language : en
Publisher: Taylor & Francis
Release Date : 2024-12-30
The Routledge Companion To Transnational Web Archive Studies written by Susan Aasman and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Language Arts & Disciplines categories.
The Routledge Companion to Transnational Web Archive Studies explores the untapped potential of web archives for researching transnational digital history and communication. It covers cross- border, cross- collection, and cross- institutional examination of web archives on a global scale. This comprehensive collaborative work, emerging from the WARCnet research network, presents an exploration of the ways web archive research can transcend technological and legal challenges to allow for new comparative, transnational studies of the web’s pasts, and of global events. By combining interdisciplinary work and fostering collaboration between web archivists and researchers, the book provides readers with cutting- edge approaches to analyzing digital cultural heritage across countries. The book contains concrete examples on how to research national web domains through a transnational perspective; provides case studies with grounded explorations of the COVID- 19 crisis as a distinctly transnational event captured by web archives; offers methodological considerations while unpacking techniques and skill sets for conducting transnational web archive research; and critically engages the politics and power dynamics inherent to web archives as institutionalised collections. The Routledge Companion to Transnational Web Archive Studies is an essential read for graduate students and scholars from internet and media studies, cultural studies, history, and digital humanities. It will also appeal to web archiving practitioners, including librarians, web curators, and IT developers.
Towards Ethical And Socially Responsible Explainable Ai
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Author : Mohammad Amir Khusru Akhtar
language : en
Publisher: Springer Nature
Release Date : 2024-08-30
Towards Ethical And Socially Responsible Explainable Ai written by Mohammad Amir Khusru Akhtar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Technology & Engineering categories.
"Dive deep into the evolving landscape of AI with 'Towards Ethical and Socially Responsible Explainable AI'. This transformative book explores the profound impact of AI on society, emphasizing transparency, accountability, and fairness in decision-making processes. It offers invaluable insights into creating AI systems that not only perform effectively but also uphold ethical standards and foster trust. Essential reading for technologists, policymakers, and all stakeholders invested in shaping a responsible AI future."
Handbook Of Research On Emerging Developments In Data Privacy
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Author : Gupta, Manish
language : en
Publisher: IGI Global
Release Date : 2014-12-31
Handbook Of Research On Emerging Developments In Data Privacy written by Gupta, Manish and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-31 with Computers categories.
Data collection allows today’s businesses to cater to each customer’s individual needs and provides a necessary edge in a competitive market. However, any breach in confidentiality can cause serious consequences for both the consumer and the company. The Handbook of Research on Emerging Developments in Data Privacy brings together new ideas on how to deal with potential leaks of valuable customer information. Highlighting the legal aspects of identity protection, trust and security, and detection techniques, this comprehensive work is a valuable resource for any business, legal, or technology professional looking to improve information security within their organization.