This book provides state-of-the-art Face De-Identification techniques and privacy protection methods, while highlighting the challenges faced in safeguarding personal information. It presents three innovative image privacy protection approaches, including differential private k-anonymity, identity differential privacy guarantee and personalized and invertible Face De-Identification. In addition, the authors propose a novel architecture for reversible Face Video De-Identification, which utilizes deep motion flow to ensure seamless privacy protection across video frames. This book is a compelling exploration of the rapidly evolving field of Face De-Identification and privacy protection in the age of advanced AI-based face recognition technology and pervasive surveillance. This insightful book embarks readers on a journey through the intricate landscape of facial recognition, artificial intelligence, social network and the challenges posed by the digital footprint left behind by individuals in their daily lives. The authors also explore emerging trends in privacy protection and discuss future research directions. Researchers working in computer science, artificial intelligence, machine learning, data privacy and cybersecurity as well as advanced-level students majoring in computers science will find this book useful as reference or secondary text. Professionals working in the fields of biometrics, data security, software development and facial recognition technology as well as policymakers and government officials will also want to purchase this book.

Some 600 million children worldwide do not legally exist. Without verifiable identification, they—and unregistered adults—could face serious difficulties in proving their identity, whether to open a bank account, purchase a SIM card, or cast a vote. Lack of identification is a barrier to full economic and social inclusion. Recent advances in the reach and technological sophistication of identification systems have been nothing less than revolutionary. Since 2000, over 60 developing countries have established national ID programs. Digital technology, particularly biometrics such as fingerprints and iris scans, has dramatically expanded the capabilities of these programs. Individuals can now be uniquely identified and reliably authenticated against their claimed identities. By enabling governments to work more effectively and transparently, identification is becoming a tool for accelerating development progress. Not only is provision of legal identity for all a target under the Sustainable Development Goals, but this book shows how it is also central to achieving numerous other SDG targets. Yet, challenges remain. Identification systems can fail to include the poor, leaving them still unable to exercise their rights, access essential services, or fully participate in political and economic life. The possible erosion of privacy and the misuse of personal data, especially in countries that lack data privacy laws or the capacity to enforce them, is another challenge. Yet another is ensuring that investments in identification systems deliver a development payoff. There are all too many examples where large expenditures—sometimes supported by donor governments or agencies—appear to have had little impact. Identification Revolution: Can Digital ID be Harnessed for Development? offers a balanced perspective on this new area, covering both the benefits and the risks of the identification revolution, as well as pinpointing opportunities to mitigate those risks.

Face recognition technologies (FRTs) have many practical security-related purposes, but advocacy groups and individuals have expressed apprehensions about their use. This report highlights the high-level privacy and bias implications of FRT systems. The authors propose a heuristic with two dimensions -- consent status and comparison type -- to help determine a proposed FRT's level of privacy and accuracy. They also identify privacy and bias concerns.

The escalation of security breaches involving personally identifiable information (PII) has contributed to the loss of millions of records over the past few years. Breaches involving PII are hazardous to both individuals and org. Individual harms may include identity theft, embarrassment, or blackmail. Organ. harms may include a loss of public trust, legal liability, or remediation costs. To protect the confidentiality of PII, org. should use a risk-based approach. This report provides guidelines for a risk-based approach to protecting the confidentiality of PII. The recommend. here are intended primarily for U.S. Fed. gov¿t. agencies and those who conduct business on behalf of the agencies, but other org. may find portions of the publication useful.

The current research scenario aims for new opportunities and perspectives in divulgation of scientific results. Nowadays research asks to be widely diffused and disseminated in a larger community in the effort to demonstrate its innovation and originality, so to enlarge network and obtain fund to keep working. In this context, PhD students, as part of scientific community and young researchers in training, have to understand the rule of publications to define the best strategy for the dissemination of their research. The present book, through the experiences of national and international PhD candidates, PhDs and Professors, is a contribute in the current opened debate on the most effective strategies and related tools to design specific dissemination strategies, to highlight and improve the peculiar qualities and disciplines of each research.