Description

本日紹介した論文の一覧

• Machine Learning with Privacy for Protected Attributes
  http://arxiv.org/abs/2506.19836v1

• KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs
  http://arxiv.org/abs/2506.19802v1

• A Survey of LLM-Driven AI Agent Communication: Protocols, Security
  Risks, and Defense Countermeasures
  http://arxiv.org/abs/2506.19676v1

• Decompiling Smart Contracts with a Large Language Model
  http://arxiv.org/abs/2506.19624v1

• PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic
  Consistency and Probability Certainty
  http://arxiv.org/abs/2506.19563v1

• From Worst-Case Hardness of $\mathsf{NP}$ to Quantum Cryptography via
  Quantum Indistinguishability Obfuscation
  http://arxiv.org/abs/2506.19542v1

• Identifying Physically Realizable Triggers for Backdoored Face
  Recognition Networks
  http://arxiv.org/abs/2506.19533v1

• PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM
  Opcodes
  http://arxiv.org/abs/2506.19480v1

• Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks
  http://arxiv.org/abs/2506.19464v1

• FuncVul: An Effective Function Level Vulnerability Detection Model using
  LLM and Code Chunk
  http://arxiv.org/abs/2506.19453v1

• An ETSI GS QKD compliant TLS implementation
  http://arxiv.org/abs/2506.19409v1

• ZK-SERIES: Privacy-Preserving Authentication using Temporal Biometric
  Data
  http://arxiv.org/abs/2506.19393v1

• Yotta: A Large-Scale Trustless Data Trading Scheme for Blockchain System
  http://arxiv.org/abs/2506.19368v1

• SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and
  Privacy of Synthetic Image Generation
  http://arxiv.org/abs/2506.19360v1

• WebGuard++:Interpretable Malicious URL Detection via Bidirectional
  Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
  http://arxiv.org/abs/2506.19356v1

• HARPT: A Corpus for Analyzing Consumers' Trust and Privacy Concerns in
  Mobile Health Apps
  http://arxiv.org/abs/2506.19268v1

• Network Structures as an Attack Surface: Topology-Based Privacy Leakage
  in Federated Learning
  http://arxiv.org/abs/2506.19260v1

• Private Model Personalization Revisited
  http://arxiv.org/abs/2506.19220v1

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。