| Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges | Sep 17, 2019 | BIG-bench Machine LearningInference Attack | —Unverified | 0 |
| Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning | Dec 10, 2021 | Federated LearningInference Attack | —Unverified | 0 |
| An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks | Sep 17, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks | May 24, 2022 | AttributeInference Attack | —Unverified | 0 |
| Adversarial Privacy Preservation under Attribute Inference Attack | Sep 25, 2019 | AttributeInference Attack | —Unverified | 0 |
| Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning | Dec 2, 2024 | Inference AttackL2 Regularization | —Unverified | 0 |
| Inferring Communities of Interest in Collaborative Learning-based Recommender Systems | Jun 15, 2023 | Community DetectionFederated Learning | —Unverified | 0 |
| A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM) | May 6, 2025 | ImputationInference Attack | —Unverified | 0 |
| Similarity-based Label Inference Attack against Training and Inference of Split Learning | Mar 10, 2022 | ClusteringInference Attack | —Unverified | 0 |
| Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services | Aug 9, 2022 | Inference Attack | —Unverified | 0 |
