Automated Programming Frameworks For Analyzing Differential Privacy
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Automated Programming Frameworks For Analyzing Differential Privacy
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Author : Yuxin Wang
language : en
Publisher:
Release Date : 2022
Automated Programming Frameworks For Analyzing Differential Privacy written by Yuxin Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
The accelerating growth of data has led to fruitful researches and real-world applications. While large datasets have benefited performance in many fields, recent incidents of data leakages and abuses have raised public concerns for data privacy. It has become a vital yet challenging task to balance individuals' privacy and data utilization for both researchers and data analysts. Among many attempts to tackle this challenge, differential privacy has become a de facto standard that provides a promising way to release individuals' sensitive data in a privacy-preserving manner. However, designing differentially-private algorithms is notoriously difficult and error-prone. Significant errors have happened even in peer-reviewed papers and systems. Such mistakes have led to researches on automated analysis of differential privacy algorithms to aid developers in the system design process. However, the limitations of existing tools either make the analysis time-consuming or fail to analyze sophisticated systems designed for differential privacy. In this dissertation, we propose a set of novel programming frameworks that target at three major aspects of automated analysis of differential privacy: verification, counterexample detection and program synthesis. For verification, we develop ShadowDP that embeds a novel proving technique named Shadow Execution to enable verification of a complex algorithm Report Noisy Max with very few annotations. Unlike prior works, ShadowDP is built upon standard program logics, making it easy to offload the verification of differential privacy to off-the-shelf verifiers. Our evaluations show ShadowDP is more efficient by orders of magnitude, compared with existing verifiers for differential privacy. For counterexample detection when a system fails to satisfy differential privacy, we propose CheckDP, the first integrated framework to prove and disprove differential privacy. A novel bidirectional Counterexample-Guided Inductive Synthesis (CEGIS) is developed and embedded in CheckDP, enabling it to simultaneously generate a proof for correct systems, as well as a counterexample for incorrect systems. Lastly, we develop DPGen, an automated synthesizer with customizable utility metrics for differential privacy. DPGen employs a novel approach to generate sketch programs and models the synthesis problem as an optimization problem involving privacy and utility, making it flexible and efficient in generating differentially-private programs with different requirements.
Differential Privacy And Applications
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Author : Tianqing Zhu
language : en
Publisher: Springer
Release Date : 2017-08-22
Differential Privacy And Applications written by Tianqing Zhu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-22 with Computers categories.
This book focuses on differential privacy and its application with an emphasis on technical and application aspects. This book also presents the most recent research on differential privacy with a theory perspective. It provides an approachable strategy for researchers and engineers to implement differential privacy in real world applications. Early chapters are focused on two major directions, differentially private data publishing and differentially private data analysis. Data publishing focuses on how to modify the original dataset or the queries with the guarantee of differential privacy. Privacy data analysis concentrates on how to modify the data analysis algorithm to satisfy differential privacy, while retaining a high mining accuracy. The authors also introduce several applications in real world applications, including recommender systems and location privacy Advanced level students in computer science and engineering, as well as researchers and professionals working in privacy preserving, data mining, machine learning and data analysis will find this book useful as a reference. Engineers in database, network security, social networks and web services will also find this book useful.
Big Data And Differential Privacy
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Author : Nii O. Attoh-Okine
language : en
Publisher: John Wiley & Sons
Release Date : 2017-05-22
Big Data And Differential Privacy written by Nii O. Attoh-Okine and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-22 with Mathematics categories.
A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering addresses common issues with the implementation of big data applications while exploring the limitations, advantages, and disadvantages of more conventional methods. In addition, the book provides a unifying approach to analyzing large volumes of data in railway track engineering using an array of proven methods and software technologies. Dr. Attoh-Okine considers some of today’s most notable applications and implementations and highlights when a particular method or algorithm is most appropriate. Throughout, the book presents numerous real-world examples to illustrate the latest railway engineering big data applications of predictive analytics, such as the Union Pacific Railroad’s use of big data to reduce train derailments, increase the velocity of shipments, and reduce emissions. In addition to providing an overview of the latest software tools used to analyze the large amount of data obtained by railways, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering: • Features a unified framework for handling large volumes of data in railway track engineering using predictive analytics, machine learning, and data mining • Explores issues of big data and differential privacy and discusses the various advantages and disadvantages of more conventional data analysis techniques • Implements big data applications while addressing common issues in railway track maintenance • Explores the advantages and pitfalls of data analysis software such as R and Spark, as well as the ApacheTM Hadoop® data collection database and its popular implementation MapReduce Big Data and Differential Privacy is a valuable resource for researchers and professionals in transportation science, railway track engineering, design engineering, operations research, and railway planning and management. The book is also appropriate for graduate courses on data analysis and data mining, transportation science, operations research, and infrastructure management. NII ATTOH-OKINE, PhD, PE is Professor in the Department of Civil and Environmental Engineering at the University of Delaware. The author of over 70 journal articles, his main areas of research include big data and data science; computational intelligence; graphical models and belief functions; civil infrastructure systems; image and signal processing; resilience engineering; and railway track analysis. Dr. Attoh-Okine has edited five books in the areas of computational intelligence, infrastructure systems and has served as an Associate Editor of various ASCE and IEEE journals.
Programming Languages And Systems
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Author : Sukyoung Ryu
language : en
Publisher: Springer
Release Date : 2018-11-22
Programming Languages And Systems written by Sukyoung Ryu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-22 with Computers categories.
This book constitutes the proceedings of the 16th Asian Symposium on Programming Languages and Systems, APLAS 2018, held in Wellington, New Zealand, in December 2018. The 22 papers presented in this volume were carefully reviewed and selected from 51 submissions. They are organized in topical sections named: types; program analysis; tools; functional programs and probabilistic programs; verification; logic; and continuation and model checking.
Verification Model Checking And Abstract Interpretation
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Author : Bernd Finkbeiner
language : en
Publisher: Springer Nature
Release Date : 2022-01-13
Verification Model Checking And Abstract Interpretation written by Bernd Finkbeiner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-13 with Computers categories.
This book constitutes the proceedings of the 23rd International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2022, which took place in Philadelphia, PA, USA, in January 2022. The 22 papers presented in this volume were carefully reviewed from 48 submissions. VMCAI provides a forum for researchers working on verification, model checking, and abstract interpretation and facilitates interaction, cross-fertilization, and advancement of hybrid methods that combine these and related areas.
Proceedings Of The 8th Annual Generalized Intelligent Framework For Tutoring Gift Users Symposium Giftsym8
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Author : Benjamin Goldberg
language : en
Publisher: U.S. Army Combat Capabilities Development Command – Soldier Center
Release Date : 2020-05-28
Proceedings Of The 8th Annual Generalized Intelligent Framework For Tutoring Gift Users Symposium Giftsym8 written by Benjamin Goldberg and has been published by U.S. Army Combat Capabilities Development Command – Soldier Center this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with Computers categories.
The GIFT Users Symposia began in 2013 with the goal to capture successful implementations of GIFT from the user community and to share recommendations leading to more useful capabilities for authors, researchers, and learners of Adaptive Instructional Systems (AIS). The attached proceedings resulted from papers accepted for the 8th Annual GIFT Users Symposium held virtually (due to COVID-19) on 28-29 May 2020. It is a excellent collection of contributions covering all aspects of AIS implementation, with special attention towards future training and education concepts centered around collaboration and team dynamics.
International Conference On Signal Machines Automation And Algorithm
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Author : Hasmat Malik
language : en
Publisher: Springer Nature
Release Date : 2024-12-13
International Conference On Signal Machines Automation And Algorithm written by Hasmat Malik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Computers categories.
This book is a set of best quality peer-reviewed innovative research papers from the International Conference on Signals, Machines, Automation and Algorithm (SIGMAA 2023), held at Shoolini University, India, during 15–16 December 2023 in hybrid mode. This book has originality of work with the innovative ideas regarding artificial intelligence (AI) and its applications in the field of communication, computing, and power technologies.
Handbook Of Research On Applications Of Ai Digital Twin And Internet Of Things For Sustainable Development
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Author : Mishra, Brojo Kishore
language : en
Publisher: IGI Global
Release Date : 2023-02-17
Handbook Of Research On Applications Of Ai Digital Twin And Internet Of Things For Sustainable Development written by Mishra, Brojo Kishore and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Computers categories.
The rapid growth and capability of artificial intelligence, digital twin, and the internet of things are unlocking incredible opportunities to overcome some of the greatest environmental and social impact challenges currently facing the global community, such as feeding a growing population, safety, affordable housing, and environmental sustainability. The Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development provides an interdisciplinary platform encompassing research on the potential opportunities and risks of reaching sustainable development using artificial intelligence, digital twin, and the internet of things. Covering key topics such as big data, environmental protection, and smart cities, this major reference work is ideal for computer scientists, industry professionals, researchers, scholars, academicians, librarians, policymakers, practitioners, educators, and students.
Artificial Intelligence In Forensic Science
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Author : Kavita Saini
language : en
Publisher: CRC Press
Release Date : 2024-08-26
Artificial Intelligence In Forensic Science written by Kavita Saini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-26 with Social Science categories.
Artificial Intelligence in Forensic Science addresses the current and emerging opportunities being utilized to apply modern Artificial Intelligence (AI) technologies to current forensic and investigation practices. The book also showcases the increasing benefits of AI where and when it can be applied to various techniques and forensic disciplines. The increasing rate of sophisticated crimes has increased the opportunity and need for the forensic field to explore a variety of emerging technologies to counter criminals—and AI is no exception. There are many current investigative challenges that, with ingenuity and application, can be helped with the application of AI, especially in the digital forensic and cyber-crime arena. The book also explains many practical studies that have been carried out to test AI technologies in crime detection, uncovering evidence, and identifying perpetrators. In the last decade, the use of AI has become common in many fields and now is an ideal time to look at the various ways AI can be integrated into judicial, forensic, and criminal cases to better collect and analyze evidence, thereby improving outcomes.
Programming Languages And Systems
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Author : Nobuko Yoshida
language : en
Publisher: Springer Nature
Release Date : 2021-03-22
Programming Languages And Systems written by Nobuko Yoshida and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-22 with Computers categories.
This open access book constitutes the proceedings of the 30th European Symposium on Programming, ESOP 2021, which was held during March 27 until April 1, 2021, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg and changed to an online format due to the COVID-19 pandemic. The 24 papers included in this volume were carefully reviewed and selected from 79 submissions. They deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems.