Description

本日紹介した論文の一覧

• In the Magma chamber: Update and challenges in ground-truth
  vulnerabilities revival for automatic input generator comparison
  http://arxiv.org/abs/2503.19909v1

• NickPay, an Auditable, Privacy-Preserving, Nickname-Based Payment System
  http://arxiv.org/abs/2503.19872v1

• Bitstream Collisions in Neural Image Compression via Adversarial
  Perturbations
  http://arxiv.org/abs/2503.19817v1

• A Managed Tokens Service for Securely Keeping and Distributing Grid
  Tokens
  http://arxiv.org/abs/2503.19768v1

• Substation Bill of Materials: A Novel Approach to Managing Supply Chain
  Cyber-risks on IEC 61850 Digital Substations
  http://arxiv.org/abs/2503.19638v1

• Red Teaming with Artificial Intelligence-Driven Cyberattacks: A Scoping
  Review
  http://arxiv.org/abs/2503.19626v1

• Nanopass Back-Translation of Call-Return Trees for Mechanized Secure
  Compilation Proofs
  http://arxiv.org/abs/2503.19609v1

• Boosting the Transferability of Audio Adversarial Examples with Acoustic
  Representation Optimization
  http://arxiv.org/abs/2503.19591v1

• On-Chain Analysis of Smart Contract Dependency Risks on Ethereum
  http://arxiv.org/abs/2503.19548v1

• Cryptoscope: Analyzing cryptographic usages in modern software
  http://arxiv.org/abs/2503.19531v1

• Towards Imperceptible Adversarial Attacks for Time Series Classification
  with Local Perturbations and Frequency Analysis
  http://arxiv.org/abs/2503.19519v1

• SparSamp: Efficient Provably Secure Steganography Based on Sparse
  Sampling
  http://arxiv.org/abs/2503.19499v1

• QUIC-Fuzz: An Effective Greybox Fuzzer For The QUIC Protocol
  http://arxiv.org/abs/2503.19402v1

• A Benign Activity Extraction Method for Malignant Activity
  Identification using Data Provenance
  http://arxiv.org/abs/2503.19370v1

• Efficient IoT Intrusion Detection with an Improved Attention-Based
  CNN-BiLSTM Architecture
  http://arxiv.org/abs/2503.19339v1

• Membership Inference Attacks on Large-Scale Models: A Survey
  http://arxiv.org/abs/2503.19338v1

• Efficient Adversarial Detection Frameworks for Vehicle-to-Microgrid
  Services in Edge Computing
  http://arxiv.org/abs/2503.19318v1

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。