Description

本日紹介した論文の一覧

• Propelling Innovation to Defeat Data-Leakage Hardware Trojans: From
  Theory to Practice
  http://arxiv.org/abs/2409.20486v1

• Fine-Tuning Personalization in Federated Learning to Mitigate
  Adversarial Clients
  http://arxiv.org/abs/2409.20329v1

• MNT Elliptic Curves with Non-Prime Order
  http://arxiv.org/abs/2409.20254v1

• Quantum Fast Implementation of Private Information Retrieval and
  Functional Bootstrapping
  http://arxiv.org/abs/2409.20182v1

• Professor X: Manipulating EEG BCI with Invisible and Robust Backdoor
  Attack
  http://arxiv.org/abs/2409.20158v1

• DBNode: A Decentralized Storage System for Big Data Storage in
  Consortium Blockchains
  http://arxiv.org/abs/2409.20123v1

• Robust LLM safeguarding via refusal feature adversarial training
  http://arxiv.org/abs/2409.20089v1

• Building Touch-Less Trust in IoT Devices
  http://arxiv.org/abs/2409.20047v1

• The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM
  Serving Systems
  http://arxiv.org/abs/2409.20002v1

• Mitigating Backdoor Threats to Large Language Models: Advancement and
  Challenges
  http://arxiv.org/abs/2409.19993v1

• Enhancing Security Using Random Binary Weights in Privacy-Preserving
  Federated Learning
  http://arxiv.org/abs/2409.19988v1

• Comments on "Privacy-Enhanced Federated Learning Against Poisoning
  Adversaries"
  http://arxiv.org/abs/2409.19964v1

• HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate
  Federated Learning
  http://arxiv.org/abs/2409.19912v1

• Optimal RANDAO Manipulation in Ethereum
  http://arxiv.org/abs/2409.19883v1

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。