Description

本日紹介した論文の一覧

• Toward an Android Static Analysis Approach for Data Protection
  http://arxiv.org/abs/2402.07889v1

• Using Graph Theory for Improving Machine Learning-based Detection of
  Cyber Attacks
  http://arxiv.org/abs/2402.07878v1

• PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented
  Generation of Large Language Models
  http://arxiv.org/abs/2402.07867v1

• The Complexity of Algebraic Algorithms for LWE
  http://arxiv.org/abs/2402.07852v1

• Adaptive Artificial Immune Networks for Mitigating DoS flooding Attacks
  http://arxiv.org/abs/2402.07714v1

• CyberMetric: A Benchmark Dataset for Evaluating Large Language Models
  Knowledge in Cybersecurity
  http://arxiv.org/abs/2402.07688v1

• Privacy-Preserving Gaze Data Streaming in Immersive Interactive Virtual
  Reality: Robustness and User Experience
  http://arxiv.org/abs/2402.07687v1

• Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data
  http://arxiv.org/abs/2402.07584v1

• Discovering Universal Semantic Triggers for Text-to-Image Synthesis
  http://arxiv.org/abs/2402.07562v1

• Resilient Watermarking for LLM-Generated Codes
  http://arxiv.org/abs/2402.07518v1

• Secret Collusion Among Generative AI Agents
  http://arxiv.org/abs/2402.07510v1

• Understanding Deep Learning defenses Against Adversarial Examples
  Through Visualizations for Dynamic Risk Assessment
  http://arxiv.org/abs/2402.07496v1

• Malicious Package Detection using Metadata Information
  http://arxiv.org/abs/2402.07444v1

• Large Language Models are Few-shot Generators: Proposing Hybrid Prompt
  Algorithm To Generate Webshell Escape Samples
  http://arxiv.org/abs/2402.07408v1

• Enhancing Multi-Criteria Decision Analysis with AI: Integrating Analytic
  Hierarchy Process and GPT-4 for Automated Decision Support
  http://arxiv.org/abs/2402.07404v1

• Utilizing Large LanguageModels to Detect Privacy Leaks in Mini-App Code
  http://arxiv.org/abs/2402.07367v1

• Accuracy of TextFooler black box adversarial attacks on 01 loss sign
  activation neural network ensemble
  http://arxiv.org/abs/2402.07347v1

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。