Description

本日紹介した論文の一覧

• Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT
  Protocol
  http://arxiv.org/abs/2402.03270v1

• Leveraging IRS Induced Time Delay for Enhanced Physical Layer Security
  in VLC Systems
  http://arxiv.org/abs/2402.03202v1

• SOAP: A Social Authentication Protocol
  http://arxiv.org/abs/2402.03199v1

• Lightweight Masking Against Static Power Side-Channel Attacks
  http://arxiv.org/abs/2402.03196v1

• Homograph Attacks on Maghreb Sentiment Analyzers
  http://arxiv.org/abs/2402.03171v1

• Detecting Scams Using Large Language Models
  http://arxiv.org/abs/2402.03147v1

• Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
  http://arxiv.org/abs/2402.03124v1

• Augmenting Security and Privacy in the Virtual Realm: An Analysis of
  Extended Reality Devices
  http://arxiv.org/abs/2402.03114v1

• Transcending Adversarial Perturbations: Manifold-Aided Adversarial
  Examples with Legitimate Semantics
  http://arxiv.org/abs/2402.03095v1

• UniHENN: Designing More Versatile Homomorphic Encryption-based CNNs
  without im2col
  http://arxiv.org/abs/2402.03060v1

• Conversation Reconstruction Attack Against GPT Models
  http://arxiv.org/abs/2402.02987v1

• Unraveling the Key of Machine Learning Solutions for Android Malware
  Detection
  http://arxiv.org/abs/2402.02953v1

• Semantic Entropy Can Simultaneously Benefit Transmission Efficiency and
  Channel Security of Wireless Semantic Communications
  http://arxiv.org/abs/2402.02950v1

• Time-Distributed Backdoor Attacks on Federated Spiking Learning
  http://arxiv.org/abs/2402.02886v1

• A Review on Building Blocks of Decentralized Artificial Intelligence
  http://arxiv.org/abs/2402.02885v1

• Feedback to the European Data Protection Board's Guidelines 2/2023 on
  Technical Scope of Art. 5(3) of ePrivacy Directive
  http://arxiv.org/abs/2402.02877v1

• Code-Based Single-Server Private Information Retrieval: Circumventing
  the Sub-Query Attack
  http://arxiv.org/abs/2402.02871v1

• DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
  http://arxiv.org/abs/2402.02739v1

• Verifiable evaluations of machine learning models using zkSNARKs
  http://arxiv.org/abs/2402.02675v1

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。