| Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks? | Feb 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries | Sep 1, 2020 | BIG-bench Machine LearningInference Attack | —Unverified | 0 | 0 |
| Securing Genomic Data Against Inference Attacks in Federated Learning Environments | May 12, 2025 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Semantic Membership Inference Attack against Large Language Models | Jun 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack | Feb 13, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities | Aug 1, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? | Jun 1, 2023 | AttributeInference Attack | —Unverified | 0 | 0 |
| Set-Membership Inference Attacks using Data Watermarking | Jun 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| DP-GPL: Differentially Private Graph Prompt Learning | Mar 13, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures | Mar 24, 2024 | Federated LearningGraph Neural Network | —Unverified | 0 | 0 |
| Sharing Models or Coresets: A Study based on Membership Inference Attack | Jul 6, 2020 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning | Dec 2, 2024 | Inference AttackL2 Regularization | —Unverified | 0 | 0 |
| Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability | Nov 21, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Efficient Membership Inference Attacks by Bayesian Neural Network | Mar 10, 2025 | Bayesian InferenceInference Attack | —Unverified | 0 | 0 |
| Do Backdoors Assist Membership Inference Attacks? | Mar 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Differentially Private Data Generative Models | Dec 6, 2018 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 | 0 |
| Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning | Sep 8, 2021 | Adversarial Attackcontinuous-control | —Unverified | 0 | 0 |
| Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment | Jul 8, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Federated Graph Condensation with Information Bottleneck Principles | May 7, 2024 | Graph LearningInference Attack | —Unverified | 0 | 0 |
| Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models | May 24, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning | Sep 28, 2024 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation | Jan 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation | Jan 4, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack | Jan 14, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
