| A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis | Jan 18, 2022 | Domain AdaptationInference Attack | —Unverified | 0 |
| EXPLORING VULNERABILITIES OF BERT-BASED APIS | Jan 1, 2021 | AttributeInference Attack | —Unverified | 0 |
| Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment | Jul 8, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models | Jun 18, 2024 | FairnessInference Attack | —Unverified | 0 |
| Evaluation of Inference Attack Models for Deep Learning on Medical Data | Oct 31, 2020 | AttributeDeep Learning | —Unverified | 0 |
| Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation | Jun 19, 2019 | AttributeInference Attack | —Unverified | 0 |
| DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks | May 16, 2020 | Domain AdaptationInference Attack | —Unverified | 0 |
| A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information | Oct 17, 2022 | Computational EfficiencyDynamic neural networks | —Unverified | 0 |
| Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature | Jul 3, 2024 | Deep LearningInference Attack | —Unverified | 0 |
| An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks | May 26, 2025 | DiversityGraph Neural Network | —Unverified | 0 |
| 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 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —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 |
| Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls | Nov 5, 2018 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
| Feature Inference Attack on Shapley Values | Jul 16, 2024 | Inference AttackPrivacy Preserving | —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 |
