Description

本日紹介した論文の一覧

• Differential Privacy for Network Assortativity
  http://arxiv.org/abs/2505.03639v1

• LlamaFirewall: An open source guardrail system for building secure AI
  agents
  http://arxiv.org/abs/2505.03574v1

• Empc: Effective Path Prioritization for Symbolic Execution with Path
  Cover
  http://arxiv.org/abs/2505.03555v1

• SKALD: Scalable K-Anonymisation for Large Datasets
  http://arxiv.org/abs/2505.03529v1

• BadLingual: A Novel Lingual-Backdoor Attack against Large Language
  Models
  http://arxiv.org/abs/2505.03501v1

• Mitigating Backdoor Triggered and Targeted Data Poisoning Attacks in
  Voice Authentication Systems
  http://arxiv.org/abs/2505.03455v1

• Detecting Quishing Attacks with Machine Learning Techniques Through QR
  Code Analysis
  http://arxiv.org/abs/2505.03451v1

• The Steganographic Potentials of Language Models
  http://arxiv.org/abs/2505.03439v1

• Directed Greybox Fuzzing via Large Language Model
  http://arxiv.org/abs/2505.03425v1

• Elevating Cyber Threat Intelligence against Disinformation Campaigns
  with LLM-based Concept Extraction and the FakeCTI Dataset
  http://arxiv.org/abs/2505.03345v1

• A Chaos Driven Metric for Backdoor Attack Detection
  http://arxiv.org/abs/2505.03208v1

• A study on audio synchronous steganography detection and distributed
  guide inference model based on sliding spectral features and intelligent
  inference drive
  http://arxiv.org/abs/2505.03193v1

• Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for
  Cybersecurity
  http://arxiv.org/abs/2505.03179v1

• An LLM-based Self-Evolving Security Framework for 6G Space-Air-Ground
  Integrated Networks
  http://arxiv.org/abs/2505.03161v1

• Towards Effective Identification of Attack Techniques in Cyber Threat
  Intelligence Reports using Large Language Models
  http://arxiv.org/abs/2505.03147v1

• Adversarial Sample Generation for Anomaly Detection in Industrial
  Control Systems
  http://arxiv.org/abs/2505.03120v1

• Towards a standardized methodology and dataset for evaluating LLM-based
  digital forensic timeline analysis
  http://arxiv.org/abs/2505.03100v1

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。