Description

本日紹介した論文の一覧

• LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
  http://arxiv.org/abs/2409.08255v1

• LLM Honeypot: Leveraging Large Language Models as Advanced Interactive
  Honeypot Systems
  http://arxiv.org/abs/2409.08234v1

• Tweezers: A Framework for Security Event Detection via Event
  Attribution-centric Tweet Embedding
  http://arxiv.org/abs/2409.08221v1

• A Secure Standard for NFT Fractionalization
  http://arxiv.org/abs/2409.08190v1

• A Study on Asynchronous Vote-based Blockchains
  http://arxiv.org/abs/2409.08161v1

• Towards a graph-based foundation model for network traffic analysis
  http://arxiv.org/abs/2409.08111v1

• Securing Large Language Models: Addressing Bias, Misinformation, and
  Prompt Attacks
  http://arxiv.org/abs/2409.08087v1

• Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks
  against RAG-based Inference in Scale and Severity Using Jailbreaking
  http://arxiv.org/abs/2409.08045v1

• Mobile App Security Trends and Topics: An Examination of Questions From
  Stack Overflow
  http://arxiv.org/abs/2409.07926v1

• Building a Cybersecurity Risk Metamodel for Improved Method and Tool
  Integration
  http://arxiv.org/abs/2409.07906v1

• BLens: Contrastive Captioning of Binary Functions using Ensemble
  Embedding
  http://arxiv.org/abs/2409.07889v1

• Collaboration Encouraging Quantum Secret Sharing Scheme with Seal
  Property
  http://arxiv.org/abs/2409.07863v1

• A Toolchain for Assisting Migration of Software Executables Towards
  Post-Quantum Crytography
  http://arxiv.org/abs/2409.07852v1

• A Spatiotemporal Stealthy Backdoor Attack against Cooperative
  Multi-Agent Deep Reinforcement Learning
  http://arxiv.org/abs/2409.07775v1

• Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
  http://arxiv.org/abs/2409.07751v1

• LOCKEY: A Novel Approach to Model Authentication and Deepfake Tracking
  http://arxiv.org/abs/2409.07743v1

• Eyes on the Phish(er): Towards Understanding Users' Email Processing
  Pattern and Mental Models in Phishing Detection
  http://arxiv.org/abs/2409.07717v1

• Harnessing TI Feeds for Exploitation Detection
  http://arxiv.org/abs/2409.07709v1

• A Deep Dive Into How Open-Source Project Maintainers Review and Resolve
  Bug Bounty Reports
  http://arxiv.org/abs/2409.07670v1

• A Mixed-Methods Study of Open-Source Software Maintainers On
  Vulnerability Management and Platform Security Features
  http://arxiv.org/abs/2409.07669v1

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。