| Local Model Reconstruction Attacks in Federated Learning and their Uses | Oct 28, 2022 | AttributeEarnings Classification | —Unverified | 0 |
| An Efficient Subpopulation-based Membership Inference Attack | Mar 4, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning | Jun 22, 2024 | Federated LearningInference Attack | —Unverified | 0 |
| A Comprehensive Study of Privacy Risks in Curriculum Learning | Oct 16, 2023 | AttributeInference Attack | —Unverified | 0 |
| BLIA: Detect model memorization in binary classification model through passive Label Inference attack | Mar 17, 2025 | Binary ClassificationInference Attack | —Unverified | 0 |
| Eliminating Label Leakage in Tree-Based Vertical Federated Learning | Jul 19, 2023 | Federated LearningInference Attack | —Unverified | 0 |
| Identity-Focused Inference and Extraction Attacks on Diffusion Models | Oct 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Inference Attacks Against Face Recognition Model without Classification Layers | Jan 24, 2024 | Face RecognitionGenerative Adversarial Network | —Unverified | 0 |
| Efficient Membership Inference Attacks by Bayesian Neural Network | Mar 10, 2025 | Bayesian InferenceInference Attack | —Unverified | 0 |
| Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability | Nov 21, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Black-Box Training Data Identification in GANs via Detector Networks | Oct 18, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning | Dec 2, 2024 | Inference AttackL2 Regularization | —Unverified | 0 |
| EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression | May 21, 2025 | Graph LearningInference Attack | —Unverified | 0 |
| Bounding Information Leakage in Machine Learning | May 9, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| A Blessing of Dimensionality in Membership Inference through Regularization | May 27, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Evaluation of Inference Attack Models for Deep Learning on Medical Data | Oct 31, 2020 | AttributeDeep Learning | —Unverified | 0 |
| An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms | Jan 28, 2021 | De-identificationInference Attack | —Unverified | 0 |
| EXPLORING VULNERABILITIES OF BERT-BASED APIS | Jan 1, 2021 | AttributeInference Attack | —Unverified | 0 |
| Eavesdrop the Composition Proportion of Training Labels in Federated Learning | Oct 14, 2019 | Federated LearningInference Attack | —Unverified | 0 |
| Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment | Jul 8, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data | Jun 26, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Feature Inference Attack on Shapley Values | Jul 16, 2024 | Inference AttackPrivacy Preserving | —Unverified | 0 |
| Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities | Aug 1, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| A Volumetric Approach to Privacy of Dynamical Systems | Jan 6, 2025 | Inference Attack | —Unverified | 0 |
