Download or read book Tome Attacks written by Landon Porter and published by Paradox-Omni Entertainment. This book was released on with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Psionics Training and Application Academy was founded with the promise of teaching psionics, people born with superhuman powers, to apply their abilities toward the good of all people. But in reality, they were merely a front to kidnap and experiment on the most powerful among them. One group discovered the truth. And they've just uncovered the long, harrowing history that led to it. But even so armed, the tiny group of psionics living in Mayfield, Virginia; in hiding from the Academy's forces, is plagued with internal conflict as well. They'll have to settle their differences before it tears them apart—or before the sinister Project Tome and their cybernetic hellhounds, the inugami do... They are heroes. They are people. This is their story. Styled after works from the Bronze Age of Comic Books, The Descendants is presented in a unique manner: as an all-prose comic book complete with issues, specials and annuals, each telling a complete story that ties into the overall tale of the titular superheroes. It is also written as a throwback and love letter to an earlier age of superheroes, to a time before everything was grim and gritty and when comic books were fun. Collects Issues #8-12, Descendants Special #1, and Descendants Annual #1 of the web serial The Descendants by Landon Porter.
Download or read book Adversarial Machine Learning written by Yevgeniy Tu and published by Springer Nature. This book was released on 2022-05-31 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Tome of Battle written by Richard Baker and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nine martial disciplines presented in this supplement allow a character with the proper knowledge and focus to perform special combat maneuvers and nearly magical effects. Information is also included on new magic items and spells and new monsters and organizations.
Download or read book Artificial Neural Networks and Machine Learning ICANN 2024 written by Michael Wand and published by Springer Nature. This book was released on with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Veterinary Medicine written by and published by . This book was released on 1921 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Information Assurance Security and Privacy Services written by H. Raghav Rao and published by Emerald Group Publishing. This book was released on 2009-05-29 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on Information Assurance, Security and Privacy Services. This book discusses Program Security, Data Security and Authentication, Internet Scourges, Web Security, Usable Security, Human-Centric Aspects, Security, Privacy and Access Control, Economic Aspects of Security, Threat Modeling, Intrusion and Response.
Download or read book A Time to Attack written by Matthew Kroenig and published by Macmillan. This book was released on 2014-05-13 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: What does it mean for Iran to have nuclear weapon capabilities? And what should the United States do about this threatening situation?
Download or read book Untold Legends Brotherhood of the Blade and the Warrior s Code written by Brad Anthony and published by Prima Games. This book was released on 2006 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Dark Beast Lurks Within You? -Crucial weapon and equipment charts -Complete combat strategies and walkthroughs -Learn to leverage dynamic attacks of opportunity -Master new combat moves and special abilities -Character morphing system revealed -2 guides in one! Full guide included for Untold Legends: Brotherhood of the Blade
Download or read book Targeted Violence written by Glenn P. McGovern and published by CRC Press. This book was released on 2010-04-05 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawn from case examples of incidents from around the world, Targeted Violence: A Statistical and Tactical Analysis of Assassinations, Contract Killings, and Kidnappings is the most complete resource of information on the attack methodologies, tactics used, and groups responsible for targeted killings and kidnappings. The author, a former SWAT and
Download or read book Progress in Cryptology INDOCRYPT 2020 written by Karthikeyan Bhargavan and published by Springer Nature. This book was released on 2020-12-07 with total page 913 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st International Conference on Cryptology in India, INDOCRYPT 2020, held in Bangalore, India, in December 2020.The 39 full papers presented together with 3 invited abstracts in this book were carefully reviewed and selected from 84 submissions. Apart from its traditional focus on areas in applied and theoretical cryptology, this year INDOCRYPT solicited papers in the area of Formal Methods for Cryptographic Systems as well and much more.
Download or read book Information Security and Privacy written by Joonsang Baek and published by Springer Nature. This book was released on 2021-11-03 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 26th Australasian Conference on Information Security and Privacy, ACISP 2021, held in Perth, WA, Australia, in November 2021. The 35 full papers presented were carefully revised and selected from 157 submissions. The papers present and discuss all aspects of information security and privacy as well as machine learning for privacy and much more.
Download or read book Decision and Game Theory for Security written by Fei Fang and published by Springer Nature. This book was released on 2023-03-12 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Decision and Game Theory for Security, GameSec 2022, held in October 2022 in Pittsburgh, PA, USA. The 15 full papers presented were carefully reviewed and selected from 39 submissions. The papers are grouped thematically on: deception in security; planning and learning in dynamic environments; security games; adversarial learning and optimization; novel applications and new game models.
Download or read book Handbook of Biometric Anti Spoofing written by Sébastien Marcel and published by Springer. This book was released on 2019-01-01 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) – also known as Biometric Anti-Spoofing. Building on the success of the previous, pioneering edition, this thoroughly updated second edition has been considerably expanded to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website. Topics and features: reviews the latest developments in PAD for fingerprint biometrics, covering optical coherence tomography (OCT) technology, and issues of interoperability; examines methods for PAD in iris recognition systems, and the application of stimulated pupillary light reflex for this purpose; discusses advancements in PAD methods for face recognition-based biometrics, such as research on 3D facial masks and remote photoplethysmography (rPPG); presents a survey of PAD for automatic speaker recognition (ASV), including the use of convolutional neural networks (CNNs), and an overview of relevant databases; describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and software-based face anti-spoofing; provides analyses of PAD in fingervein recognition, online handwritten signature verification, and in biometric technologies on mobile devicesincludes coverage of international standards, the E.U. PSDII and GDPR directives, and on different perspectives on presentation attack evaluation. This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics.
Download or read book Federated Learning written by Lam M. Nguyen and published by Elsevier. This book was released on 2024-02-09 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federated Learning: Theory and Practi ce provides a holisti c treatment to federated learning as a distributed learning system with various forms of decentralized data and features. Part I of the book begins with a broad overview of opti mizati on fundamentals and modeling challenges, covering various aspects of communicati on effi ciency, theoretical convergence, and security. Part II featuresemerging challenges stemming from many socially driven concerns of federated learning as a future public machine learning service. Part III concludes the book with a wide array of industrial applicati ons of federated learning, as well as ethical considerations, showcasing its immense potential for driving innovation while safeguarding sensitive data.Federated Learning: Theory and Practi ce provides a comprehensive and accessible introducti on to federated learning which is suitable for researchers and students in academia, and industrial practitioners who seek to leverage the latest advance in machine learning for their entrepreneurial endeavors. - Presents the fundamentals and a survey of key developments in the field of federated learning - Provides emerging, state-of-the art topics that build on fundamentals - Contains industry applications - Gives an overview of visions of the future
Download or read book Applied Approach to Privacy and Security for the Internet of Things written by Chatterjee, Parag and published by IGI Global. This book was released on 2020-06-26 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: From transportation to healthcare, IoT has been heavily implemented into practically every professional industry, making these systems highly susceptible to security breaches. Because IoT connects not just devices but also people and other entities, every component of an IoT system remains vulnerable to attacks from hackers and other unauthorized units. This clearly portrays the importance of security and privacy in IoT, which should be strong enough to keep the entire platform and stakeholders secure and smooth enough to not disrupt the lucid flow of communication among IoT entities. Applied Approach to Privacy and Security for the Internet of Things is a collection of innovative research on the methods and applied aspects of security in IoT-based systems by discussing core concepts and studying real-life scenarios. While highlighting topics including malware propagation, smart home vulnerabilities, and bio-sensor safety, this book is ideally designed for security analysts, software security engineers, researchers, computer engineers, data scientists, security professionals, practitioners, academicians, and students seeking current research on the various aspects of privacy and security within IoT.
Download or read book Information Security and Privacy written by Udaya Parampalli and published by Springer. This book was released on 2011-07-01 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th Australasian Conference on Information Security and Privacy, ACISP 2011, held in Melbourne, Australia, in July 2011. The 24 revised full papers presented together with an invited talk and 9 poster papers were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on symmetric key cryptography, hash functions, cryptographic protocols, access control and security, and public key cryptography.
Download or read book Rebels and Conflict Escalation written by Isabelle Duyvesteyn and published by Cambridge University Press. This book was released on 2021-06-10 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Violence during war often involves upswings and downturns that have, to date, been insufficiently explained. Why does violence at a particular point in time increase in intensity and why do actors in war decrease the level of violence at other points? Duyvesteyn discusses the potential explanatory variables for escalation and de-escalation in conflicts involving states and non-state actors, such as terrorists and insurgents. Using theoretical arguments and examples from modern history, this book presents the most notable causal mechanisms or shifts in the shape of propositions that could explain the rise and decline of non-state actor violence after the start and before the termination of conflict. This study critically reflects on the conceptualisation of escalation as linear, rational and wilful, and instead presents an image of rebel escalation as accidental, messy and within a very limited range of control.
