Description

本日紹介した論文の一覧

• LLMs for Domain Generation Algorithm Detection
  http://arxiv.org/abs/2411.03307v1

• Quantum One-Time Protection of any Randomized Algorithm
  http://arxiv.org/abs/2411.03305v1

• Oblivious Defense in ML Models: Backdoor Removal without Detection
  http://arxiv.org/abs/2411.03279v1

• On the Detection of Non-Cooperative RISs: Scan B-Testing via Deep
  Support Vector Data Description
  http://arxiv.org/abs/2411.03237v1

• Formal Logic-guided Robust Federated Learning against Poisoning Attacks
  http://arxiv.org/abs/2411.03231v1

• Exploring the Cybersecurity-Resilience Gap: An Analysis of Student
  Attitudes and Behaviors in Higher Education
  http://arxiv.org/abs/2411.03219v1

• Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS
  Cameras
  http://arxiv.org/abs/2411.03022v1

• FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses
  http://arxiv.org/abs/2411.03019v1

• Region-Guided Attack on the Segment Anything Model (SAM)
  http://arxiv.org/abs/2411.02974v1

• Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic
  Encryption for Collaborative Anti-Money Laundering
  http://arxiv.org/abs/2411.02926v1

• Membership Inference Attacks against Large Vision-Language Models
  http://arxiv.org/abs/2411.02902v1

• NinjaDoH: A Censorship-Resistant Moving Target DoH Server Using
  Hyperscalers and IPNS
  http://arxiv.org/abs/2411.02805v1

• TRANSPOSE: Transitional Approaches for Spatially-Aware LFI Resilient FSM
  Encoding
  http://arxiv.org/abs/2411.02798v1

• Brewing Vodka: Distilling Pure Knowledge for Lightweight Threat
  Detection in Audit Logs
  http://arxiv.org/abs/2411.02775v1

• FedBlock: A Blockchain Approach to Federated Learning against Backdoor
  Attacks
  http://arxiv.org/abs/2411.02773v1

• Relating Quantum Tamper-Evident Encryption to Other Cryptographic
  Notions
  http://arxiv.org/abs/2411.02742v1

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。