Description

本日紹介した論文の一覧

• Exploring the Market Dynamics of Liquid Staking Derivatives (LSDs)
  http://arxiv.org/abs/2402.17748v1

• On Central Primitives for Quantum Cryptography with Classical
  Communication
  http://arxiv.org/abs/2402.17715v1

• SoK: Cryptocurrency Wallets -- A Security Review and Classification
  based on Authentication Factors
  http://arxiv.org/abs/2402.17659v1

• Securing OPEN-RAN Equipment Using Blockchain-Based Supply Chain
  Verification
  http://arxiv.org/abs/2402.17632v1

• Complexity Assessment of Analog Security Primitives Using the Disentropy
  of Autocorrelation
  http://arxiv.org/abs/2402.17488v1

• A Holistic Approach for Bitcoin Confirmation Times & Optimal Fee
  Selection
  http://arxiv.org/abs/2402.17474v1

• Model X-ray:Detect Backdoored Models via Decision Boundary
  http://arxiv.org/abs/2402.17465v1

• PureLottery: Fair and Bias-Resistant Leader Election with a Novel
  Single-Elimination Tournament Algorithm
  http://arxiv.org/abs/2402.17459v1

• Robustness-Congruent Adversarial Training for Secure Machine Learning
  Model Updates
  http://arxiv.org/abs/2402.17390v1

• Towards an Enforceable GDPR Specification
  http://arxiv.org/abs/2402.17350v1

• A Scalable Multi-Layered Blockchain Architecture for Enhanced EHR
  Sharing and Drug Supply Chain Management
  http://arxiv.org/abs/2402.17342v1

• Deep Learning-Based Speech and Vision Synthesis to Improve Phishing
  Attack Detection through a Multi-layer Adaptive Framework
  http://arxiv.org/abs/2402.17249v1

• HardTaint: Production-Run Dynamic Taint Analysis via Selective Hardware
  Tracing
  http://arxiv.org/abs/2402.17241v1

• Chain-of-Thought Prompting of Large Language Models for Discovering and
  Fixing Software Vulnerabilities
  http://arxiv.org/abs/2402.17230v1

• Time-Restricted Double-Spending Attack on PoW-based Blockchains
  http://arxiv.org/abs/2402.17223v1

• Blockchain for Finance: A Survey
  http://arxiv.org/abs/2402.17219v1

• Purified and Unified Steganographic Network
  http://arxiv.org/abs/2402.17210v1

• AI-Driven Anonymization: Protecting Personal Data Privacy While
  Leveraging Machine Learning
  http://arxiv.org/abs/2402.17191v1

• Adversarial Perturbations of Physical Signals
  http://arxiv.org/abs/2402.17104v1

• A Pioneering Study and An Innovative Information Theory-based Approach
  to Enhance The Transparency in Phishing Detection
  http://arxiv.org/abs/2402.17092v1

なお、ポッドキャスト内で紹介する内容は、各論文の概要を日本語で解説したもので、論文概要の著作権は論文著者に帰属します。