Description

本日紹介した論文の一覧

• Has Approximate Machine Unlearning been evaluated properly? From
  Auditing to Side Effects
  http://arxiv.org/abs/2403.12830v1

• The Emergence of Hardware Fuzzing: A Critical Review of its Significance
  http://arxiv.org/abs/2403.12812v1

• Python Fuzzing for Trustworthy Machine Learning Frameworks
  http://arxiv.org/abs/2403.12723v1

• Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via
  Cheap and Efficient Prompt-Engineering
  http://arxiv.org/abs/2403.12671v1

• When Does Your Brain Know You? Segment Length and Its Impact on
  EEG-based Biometric Authentication Accuracy
  http://arxiv.org/abs/2403.12644v1

• Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer
  IoT Devices
  http://arxiv.org/abs/2403.12568v1

• TAGS: Real-time Intrusion Detection with Tag-Propagation-based
  Provenance Graph Alignment on Streaming Events
  http://arxiv.org/abs/2403.12541v1

• Securing Large Language Models: Threats, Vulnerabilities and Responsible
  Practices
  http://arxiv.org/abs/2403.12503v1

• On the effectiveness of Large Language Models for GitHub Workflows
  http://arxiv.org/abs/2403.12446v1

• Algorithmic Complexity Attacks on Dynamic Learned Indexes
  http://arxiv.org/abs/2403.12433v1

• Electioneering the Network: Dynamic Multi-Step Adversarial Attacks for
  Community Canvassing
  http://arxiv.org/abs/2403.12399v1

• E-DoH: Elegantly Detecting the Depths of Open DoH Service on the
  Internet
  http://arxiv.org/abs/2403.12363v1

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。