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Computer Security – ESORICS 2019

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Cover of 'Computer Security – ESORICS 2019'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Privacy-Enhanced Machine Learning with Functional Encryption
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    Chapter 2 Towards Secure and Efficient Outsourcing of Machine Learning Classification
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    Chapter 3 Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data
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    Chapter 4 BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks
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    Chapter 5 The Leakage-Resilience Dilemma
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    Chapter 6 A Taxonomy of Attacks Using BGP Blackholing
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    Chapter 7 Local Obfuscation Mechanisms for Hiding Probability Distributions
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    Chapter 8 A First Look into Privacy Leakage in 3D Mixed Reality Data
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    Chapter 9 Flexible Signatures: Making Authentication Suitable for Real-Time Environments
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    Chapter 10 DGM: A D ynamic and Revocable G roup M erkle Signature
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    Chapter 11 Puncturable Proxy Re-Encryption Supporting to Group Messaging Service
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    Chapter 12 Generic Traceable Proxy Re-encryption and Accountable Extension in Consensus Network
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    Chapter 13 Side-Channel Aware Fuzzing
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    Chapter 14 NetSpectre: Read Arbitrary Memory over Network
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    Chapter 15 maskVerif: Automated Verification of Higher-Order Masking in Presence of Physical Defaults
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    Chapter 16 Automated Formal Analysis of Side-Channel Attacks on Probabilistic Systems
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    Chapter 17 A Formal Model for Checking Cryptographic API Usage in JavaScript
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    Chapter 18 Contingent Payments on a Public Ledger: Models and Reductions for Automated Verification
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    Chapter 19 Symbolic Analysis of Terrorist Fraud Resistance
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    Chapter 20 Secure Communication Channel Establishment: TLS 1.3 (over TCP Fast Open) vs. QUIC
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    Chapter 21 Where to Look for What You See Is What You Sign ? User Confusion in Transaction Security
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    Chapter 22 On the Security and Applicability of Fragile Camera Fingerprints
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    Chapter 23 Attacking Speaker Recognition Systems with Phoneme Morphing
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    Chapter 24 Practical Bayesian Poisoning Attacks on Challenge-Based Collaborative Intrusion Detection Networks
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    Chapter 25 A Framework for Evaluating Security in the Presence of Signal Injection Attacks
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    Chapter 26 Formalizing and Proving Privacy Properties of Voting Protocols Using Alpha-Beta Privacy
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    Chapter 27 ProCSA : Protecting Privacy in Crowdsourced Spectrum Allocation
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    Chapter 28 Breaking Unlinkability of the ICAO 9303 Standard for e-Passports Using Bisimilarity
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    Chapter 29 Symmetric-Key Corruption Detection: When XOR-MACs Meet Combinatorial Group Testing
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    Chapter 30 Finding Flaws from Password Authentication Code in Android Apps
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    Chapter 31 Identifying Privilege Separation Vulnerabilities in IoT Firmware with Symbolic Execution
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    Chapter 32 iCAT : An Interactive Customizable Anonymization Tool
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    Chapter 33 Monitoring the GDPR
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    Chapter 34 Incentives for Harvesting Attack in Proof of Work Mining Pools
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    Chapter 35 A Lattice-Based Linkable Ring Signature Supporting Stealth Addresses
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    Chapter 36 Annotary: A Concolic Execution System for Developing Secure Smart Contracts
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    Chapter 37 PDFS: Practical Data Feed Service for Smart Contracts
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    Chapter 38 Towards a Marketplace for Secure Outsourced Computations
Overall attention for this book and its chapters
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Title
Computer Security – ESORICS 2019
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-29959-0
ISBNs
978-3-03-029958-3, 978-3-03-029959-0
Editors

Sako, Kazue, Schneider, Steve, Ryan, Peter Y. A.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Master 2 11%
Student > Doctoral Student 2 11%
Professor > Associate Professor 1 6%
Unknown 9 50%
Readers by discipline Count As %
Computer Science 8 44%
Engineering 1 6%
Unknown 9 50%