Description

本日紹介した論文の一覧

• Layered Uploading for Quantum Convolutional Neural Networks
  http://arxiv.org/abs/2404.09750v1

• Privacy-Preserving Federated Unlearning with Certified Client Removal
  http://arxiv.org/abs/2404.09724v1

• VFLGAN: Vertical Federated Learning-based Generative Adversarial Network
  for Vertically Partitioned Data Publication
  http://arxiv.org/abs/2404.09722v1

• An Empirical Study of Open Edge Computing Platforms: Ecosystem, Usage,
  and Security Risks
  http://arxiv.org/abs/2404.09681v1

• Privacy-Preserving Intrusion Detection using Convolutional Neural
  Networks
  http://arxiv.org/abs/2404.09625v1

• Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data
  Augmentation
  http://arxiv.org/abs/2404.09599v1

• Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual
  Nodes
  http://arxiv.org/abs/2404.09536v1

• Bridging the Gap: Automated Analysis of Sancus
  http://arxiv.org/abs/2404.09518v1

• SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam
  Detection
  http://arxiv.org/abs/2404.09481v1

• Crooked indifferentiability of the Feistel Construction
  http://arxiv.org/abs/2404.09450v1

• Correcting Subverted Random Oracles
  http://arxiv.org/abs/2404.09442v1

• On the Efficiency of Privacy Attacks in Federated Learning
  http://arxiv.org/abs/2404.09430v1

• On the Optimal Regret of Locally Private Linear Contextual Bandit
  http://arxiv.org/abs/2404.09413v1

• EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based
  Protocol and Quantization Co-Optimization
  http://arxiv.org/abs/2404.09404v1

• Data Analysis Methods Preliminaries for a Photon-based Hardware Random
  Number Generator
  http://arxiv.org/abs/2404.09395v1

• Privacy at a Price: Exploring its Dual Impact on AI Fairness
  http://arxiv.org/abs/2404.09391v1

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。