Description

本日紹介した論文の一覧

• Walrus: An Efficient Decentralized Storage Network
  http://arxiv.org/abs/2505.05370v1

• SUUM: Timestamp-based Nakamoto-style Blockchains are Vulnerable
  http://arxiv.org/abs/2505.05328v1

• QUIC-Exfil: Exploiting QUIC's Server Preferred Address Feature to
  Perform Data Exfiltration Attacks
  http://arxiv.org/abs/2505.05292v1

• MTL-UE: Learning to Learn Nothing for Multi-Task Learning
  http://arxiv.org/abs/2505.05279v1

• Revealing Weaknesses in Text Watermarking Through Self-Information
  Rewrite Attacks
  http://arxiv.org/abs/2505.05190v1

• FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data
  Preparation via Federated Learning
  http://arxiv.org/abs/2505.05155v1

• A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple
  Large Language Models Network
  http://arxiv.org/abs/2505.05103v1

• SoK: A Taxonomy for Distributed-Ledger-Based Identity Management
  http://arxiv.org/abs/2505.05100v1

• Integrating Communication, Sensing, and Security: Progress and Prospects
  of PLS in ISAC Systems
  http://arxiv.org/abs/2505.05090v1

• An Agent-Based Modeling Approach to Free-Text Keyboard Dynamics for
  Continuous Authentication
  http://arxiv.org/abs/2505.05015v1

• ChainMarks: Securing DNN Watermark with Cryptographic Chain
  http://arxiv.org/abs/2505.04977v1

• Enhancing Blockchain Cross Chain Interoperability: A Comprehensive
  Survey
  http://arxiv.org/abs/2505.04934v1

• Memory Under Siege: A Comprehensive Survey of Side-Channel Attacks on
  Memory
  http://arxiv.org/abs/2505.04896v1

• FedRE: Robust and Effective Federated Learning with Privacy Preference
  http://arxiv.org/abs/2505.04889v1

• Federated Learning for Cyber Physical Systems: A Comprehensive Survey
  http://arxiv.org/abs/2505.04873v1

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。