Description

本日紹介した論文の一覧

• LOKI: Proactively Discovering Online Scam Websites by Mining Toxic
  Search Queries
  http://arxiv.org/abs/2509.12181v1

• Poison to Detect: Detection of Targeted Overfitting in Federated
  Learning
  http://arxiv.org/abs/2509.11974v1

• Time-Constrained Intelligent Adversaries for Automation Vulnerability
  Testing: A Multi-Robot Patrol Case Study
  http://arxiv.org/abs/2509.11971v1

• zkToken: Empowering Holders to Limit Revocation Checks for Verifiable
  Credentials
  http://arxiv.org/abs/2509.11934v1

• Efficient Byzantine-Robust Privacy-Preserving Federated Learning via
  Dimension Compression
  http://arxiv.org/abs/2509.11870v1

• NeuroStrike: Neuron-Level Attacks on Aligned LLMs
  http://arxiv.org/abs/2509.11864v1

• A Practical Adversarial Attack against Sequence-based Deep Learning
  Malware Classifiers
  http://arxiv.org/abs/2509.11836v1

• Off-Path TCP Exploits: PMTUD Breaks TCP Connection Isolation in IP
  Address Sharing Scenarios
  http://arxiv.org/abs/2509.11833v1

• Anomaly Detection in Industrial Control Systems Based on Cross-Domain
  Representation Learning
  http://arxiv.org/abs/2509.11786v1

• On Spatial-Provenance Recovery in Wireless Networks with Relaxed-Privacy
  Constraints
  http://arxiv.org/abs/2509.11761v1

• Removal Attack and Defense on AI-generated Content Latent-based
  Watermarking
  http://arxiv.org/abs/2509.11745v1

• A Holistic Approach to E-Commerce Innovation: Redefining Security and
  User Experience
  http://arxiv.org/abs/2509.11712v1

• Time-Based State-Management of Hash-Based Signature CAs for
  VPN-Authentication
  http://arxiv.org/abs/2509.11695v1

• An Unsupervised Learning Approach For A Reliable Profiling Of Cyber
  Threat Actors Reported Globally Based On Complete Contextual Information Of
  Cyber Attacks
  http://arxiv.org/abs/2509.11683v1

• Cyber Attack Mitigation Framework for Denial of Service (DoS) Attacks in
  Fog Computing
  http://arxiv.org/abs/2509.11668v1

• Inducing Uncertainty for Test-Time Privacy
  http://arxiv.org/abs/2509.11625v1

• Cyber Threat Hunting: Non-Parametric Mining of Attack Patterns from
  Cyber Threat Intelligence for Precise Threats Attribution
  http://arxiv.org/abs/2509.11615v1

• AMLNet: A Knowledge-Based Multi-Agent Framework to Generate and Detect
  Realistic Money Laundering Transactions
  http://arxiv.org/abs/2509.11595v1

• ILA: Correctness via Type Checking for Fully Homomorphic Encryption
  http://arxiv.org/abs/2509.11559v1

• Dstack: A Zero Trust Framework for Confidential Containers
  http://arxiv.org/abs/2509.11555v1

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。