Description

本日紹介した論文の一覧

• The solving degrees for computing Gröbner bases of affine
  semi-regular polynomial sequences
  http://arxiv.org/abs/2404.03530v1

• WeSee: Using Malicious #VC Interrupts to Break AMD SEV-SNP
  http://arxiv.org/abs/2404.03526v1

• Approximate Gradient Coding for Privacy-Flexible Federated Learning with
  Non-IID Data
  http://arxiv.org/abs/2404.03524v1

• Privacy-Enhancing Technologies for Artificial Intelligence-Enabled
  Systems
  http://arxiv.org/abs/2404.03509v1

• Privacy Engineering From Principles to Practice: A Roadmap
  http://arxiv.org/abs/2404.03442v1

• Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak
  Attacks?
  http://arxiv.org/abs/2404.03411v1

• Heckler: Breaking Confidential VMs with Malicious Interrupts
  http://arxiv.org/abs/2404.03387v1

• Knowledge Distillation-Based Model Extraction Attack using Private
  Counterfactual Explanations
  http://arxiv.org/abs/2404.03348v1

• Meta Invariance Defense Towards Generalizable Robustness to Unknown
  Adversarial Attacks
  http://arxiv.org/abs/2404.03340v1

• SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular
  Diffusion Models
  http://arxiv.org/abs/2404.03299v1

• The power of a single Haar random state: constructing and separating
  quantum pseudorandomness
  http://arxiv.org/abs/2404.03295v1

• A Deep Reinforcement Learning Approach for Security-Aware Service
  Acquisition in IoT
  http://arxiv.org/abs/2404.03276v1

• Cryptographic Hardness of Score Estimation
  http://arxiv.org/abs/2404.03272v1

• Learn What You Want to Unlearn: Unlearning Inversion Attacks against
  Machine Unlearning
  http://arxiv.org/abs/2404.03233v1

• Commitments are equivalent to one-way state generators
  http://arxiv.org/abs/2404.03220v1

• Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators
  for Fast Private Inference in Homomorphic Encryption
  http://arxiv.org/abs/2404.03216v1

• Goldfish: An Efficient Federated Unlearning Framework
  http://arxiv.org/abs/2404.03180v1

• LTRDetector: Exploring Long-Term Relationship for Advanced Persistent
  Threats Detection
  http://arxiv.org/abs/2404.03162v1

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。