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Across The Silent Sands
An army veteran admits to murdering his best friend and major during the Indo-China war. While the police write him off as a senile man who is on a nervous breakdown, the case is handed to the IRTF whose resolve to prove his innocence wanes thin as evidences pile up against him. Around the same time, videos of women being brutally murdered start going viral on the internet. As the case is taken up by the IRTF, much to their horror, the murderer is provoked into challenging them by being more violent in his display of his disturbing skills on the increasing number of his victims. When Akshaya Balakrishnan joins the Task Force, little do her colleagues expect that they will be blown away by her skills of deduction and presence of mind. With one determined woman, two sensational cases, Across the Silent Sands is an exploration of how the human mind can surprise and shock us all.
Long Story Short...
The twenty one winning stories of Litagram's viral social short story competition, 2015
Blockchain Scalability and its Foundations in Distributed Systems
This practical new book offers the distributed-computing fundamental knowledge for individuals to connect with one another in a more secure and efficient way than with traditional blockchains. These new forms of secure, scalable blockchains promise to replace centralized institutions to connect individuals without the risks of user manipulations or data extortions. The techniques taught herein consist of enhancing blockchain security and making blockchain scalable by relying on the observation that no blockchain can exist without solving the consensus problem. First, the state-of-the-art of consensus protocols are analyzed, hence motivating the need for a new family of consensus protocols of...
Financial Cryptography and Data Security
The two-volume set LNCS 13950 and 13951 constitutes revised selected papers from the 27th International Conference on Financial Cryptography and Data Security, FC 2023, which was held from May 1-5, 2023, in Bol, Croatia. The 39 full and 2 short papers presented in these proceedings were carefully reviewed and selected from 182 submissions. They were organized in topical sections as follows:Part I: Consensus; cryptographic protocols; decentralized finance; Part II: Proof of X; Layer 2; attack techniques, defenses, and attack case studies; empirical studies and more decentralized finance; game theory and protocols.
Financial Cryptography and Data Security
This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Conference on Financial Cryptography and Data Security, FC 2020, held in Kota Kinabalu, Malaysia, in February 2020. The 34 revised full papers and 2 short papers were carefully selected and reviewed from 162 submissions. The papers are grouped in the following topical sections: attacks; consensus; cryptoeconomics; layer 2; secure computation; privacy; crypto foundations; empirical studies; and smart contracts.
Financial Cryptography and Data Security
This double volume constitutes the thoroughly refereed post-conference proceedings of the 25th International Conference on Financial Cryptography and Data Security, FC 2021, held online due to COVID-19, in March 2021. The 47 revised full papers and 4 short papers together with 3 as Systematization of Knowledge (SoK) papers were carefully selected and reviewed from 223 submissions. The accepted papers were organized according to their topics in 12 sessions: Smart Contracts, Anonymity and Privacy in Cryptocurrencies, Secure Multi-Party Computation, System and Application Security, Zero-Knowledge Proofs, Blockchain Protocols, Payment Channels, Mining, Scaling Blockchains, Authentication and Usability, Measurement, and Cryptography.
Hands-On Meta Learning with Python
Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks Key FeaturesUnderstand the foundations of meta learning algorithmsExplore practical examples to explore various one-shot learning algorithms with its applications in TensorFlowMaster state of the art meta learning algorithms like MAML, reptile, meta SGDBook Description Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster. Hands-On Meta Learning with Python starts by explaining th...
ECAI 2023
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrat...
Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
Beyond the Worst-Case Analysis of Algorithms
Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.
