Description : The increasing abundance of large high-quality datasets, combined with significant technical advances over the last several decades have made machine learning into a major tool employed across a broad array of tasks including vision, language, finance, and security. However, success has been accompanied with important new challenges: many applications of machine learning are adversarial in nature. Some are adversarial because they are safety critical, such as autonomous driving. An adversary in these applications can be a malicious party aimed at causing congestion or accidents, or may even model unusual situations that expose vulnerabilities in the prediction engine. Other applications are adversarial because their task and/or the data they use are. For example, an important class of problems in security involves detection, such as malware, spam, and intrusion detection. The use of machine learning for detecting malicious entities creates an incentive among adversaries to evade detection by changing their behavior or the content of malicius objects they develop. The field of adversarial machine learning has emerged to study vulnerabilities of machine learning approaches in adversarial settings and to develop techniques to make learning robust to adversarial manipulation. This book provides a technical overview of this field. After reviewing machine learning concepts and approaches, as well as common use cases of these in adversarial settings, we present a general categorization of attacks on machine learning. We then address two major categories of attacks and associated defenses: decision-time attacks, in which an adversary changes the nature of instances seen by a learned model at the time of prediction in order to cause errors, and poisoning or training time attacks, in which the actual training dataset is maliciously modified. In our final chapter devoted to technical content, we discuss recent techniques for attacks on deep learning, as well as approaches for improving robustness of deep neural networks. We conclude with a discussion of several important issues in the area of adversarial learning that in our view warrant further research. Given the increasing interest in the area of adversarial machine learning, we hope this book provides readers with the tools necessary to successfully engage in research and practice of machine learning in adversarial settings.
Description : This book introduces readers to the tools needed to protect IT resources and communicate with security specialists when there is a security problem. The book covers a wide range of security topics including Cryptographic Technologies, Network Security, Security Management, Information Assurance, Security Applications, Computer Security, Hardware Security, and Biometrics and Forensics. It introduces the concepts, techniques, methods, approaches, and trends needed by security specialists to improve their security skills and capabilities. Further, it provides a glimpse into future directions where security techniques, policies, applications, and theories are headed. The book represents a collection of carefully selected and reviewed chapters written by diverse security experts in the listed fields and edited by prominent security researchers.
Description : The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The Scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.
Description : This is a hopeful but complicated era for those with ambitions to reform the juvenile courts and youth-serving public institutions in the United States. As advocates plea for major reforms, many fear the public backlash in making dramatic changes. Choosing the Future for American Juvenile Justice provides a look at the recent trends in juvenile justice as well as suggestions for reforms and policy changes in the future. Should youth be treated as adults when they break the law? How can youth be deterred from crime? What factors should be considered in how youth are punished?What role should the police have in schools? This essential volume, edited by two of the leading scholars on juvenile justice, and with contributors who are among the key experts on each issue, the volume focuses on the most pressing issues of the day: the impact of neuroscience on our understanding of brain development and subsequent sentencing, the relationship of schools and the police, the issue of the school-to-prison pipeline, the impact of immigration, the privacy of juvenile records, and the need for national policies—including registration requirements--for juvenile sex offenders. Choosing the Future for American Juvenile Justice is not only a timely collection, based on the most current research, but also a forward-thinking volume that anticipates the needs for substantive and future changes in juvenile justice.
Description : The battle is real, and you are involved whether you like it or not.The Bible plainly tells us that Satan schemes against us, that he wants to devour us, and that we struggle-not against the usual human enemies-but against Satan's highly organized kingdom. This battle will not go away. Ignoring it could be disastrous. But don't be afraid. Your victory is already won! No enemy-not even Satan-is strong enough to overcome the God that lives in you. Now it's your responsibility to claim the victory. Here at last is a practical handbook that has proven itself in the field of spiritual warfare. Learn the answers to such questions as: What is Satan's strategy in spiritual warfare? Can a Christian be oppressed by demons? Can demonic affliction be passed down through family lines? What are the symptoms of demonic activity in a person's life? This best-seller will help you aggressively plan your triumph by relying on the almighty and powerful Word of God.