Description

本日紹介した論文の一覧

• S3C2 Summit 2024-09: Industry Secure Software Supply Chain Summit
  http://arxiv.org/abs/2505.10538v1

• Quantized Approximate Signal Processing (QASP): Towards Homomorphic
  Encryption for audio
  http://arxiv.org/abs/2505.10500v1

• The Ephemeral Threat: Assessing the Security of Algorithmic Trading
  Systems powered by Deep Learning
  http://arxiv.org/abs/2505.10430v1

• Locally Differentially Private Frequency Estimation via Joint Randomized
  Response
  http://arxiv.org/abs/2505.10349v1

• AutoPentest: Enhancing Vulnerability Management With Autonomous LLM
  Agents
  http://arxiv.org/abs/2505.10321v1

• One For All: Formally Verifying Protocols which use Aggregate Signatures
  (extended version)
  http://arxiv.org/abs/2505.10316v1

• Private Transformer Inference in MLaaS: A Survey
  http://arxiv.org/abs/2505.10315v1

• Defending the Edge: Representative-Attention for Mitigating Backdoor
  Attacks in Federated Learning
  http://arxiv.org/abs/2505.10297v1

• AttentionGuard: Transformer-based Misbehavior Detection for Secure
  Vehicular Platoons
  http://arxiv.org/abs/2505.10273v1

• Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack
  in Federated Learning
  http://arxiv.org/abs/2505.10264v1

• The Tangent Space Attack
  http://arxiv.org/abs/2505.10184v1

• When Mitigations Backfire: Timing Channel Attacks and Defense for
  PRAC-Based RowHammer Mitigations
  http://arxiv.org/abs/2505.10111v1

• Dark LLMs: The Growing Threat of Unaligned AI Models
  http://arxiv.org/abs/2505.10066v1

• Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber
  Security Data
  http://arxiv.org/abs/2505.09974v1

• Security and Privacy Measurement on Chinese Consumer IoT Traffic based
  on Device Lifecycle
  http://arxiv.org/abs/2505.09929v1

• DeFeed: Secure Decentralized Cross-Contract Data Feed in Web 3.0 for
  Connected Autonomous Vehicles
  http://arxiv.org/abs/2505.09928v1

• From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework
  for Large Language Models
  http://arxiv.org/abs/2505.09924v1

• PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative
  In-Context Optimization
  http://arxiv.org/abs/2505.09921v1

• Correlating Account on Ethereum Mixing Service via Domain-Invariant
  feature learning
  http://arxiv.org/abs/2505.09892v1

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。