| Bounding Information Leakage in Machine Learning | May 9, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning | Jun 22, 2024 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Similarity-based Label Inference Attack against Training and Inference of Split Learning | Mar 10, 2022 | ClusteringInference Attack | —Unverified | 0 | 0 |
| Inferring Communities of Interest in Collaborative Learning-based Recommender Systems | Jun 15, 2023 | Community DetectionFederated Learning | —Unverified | 0 | 0 |
| Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks | May 24, 2022 | AttributeInference Attack | —Unverified | 0 | 0 |
| Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature | Jul 3, 2024 | Deep LearningInference Attack | —Unverified | 0 | 0 |
| DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks | May 16, 2020 | Domain AdaptationInference Attack | —Unverified | 0 | 0 |
| Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models | Jun 18, 2024 | FairnessInference Attack | —Unverified | 0 | 0 |
| Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges | Sep 17, 2019 | BIG-bench Machine LearningInference Attack | —Unverified | 0 | 0 |
| Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning | Dec 10, 2021 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Defending Model Inversion and Membership Inference Attacks via Prediction Purification | May 8, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| De-identification is not always enough | Jan 31, 2024 | De-identificationInference Attack | —Unverified | 0 | 0 |
| DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics | Apr 25, 2025 | AttributeInference Attack | —Unverified | 0 | 0 |
| Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation | Jan 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Differentially Private Data Generative Models | Dec 6, 2018 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 | 0 |
| Differentially Private k-Means Clustering with Guaranteed Convergence | Feb 3, 2020 | ClusteringInference Attack | —Unverified | 0 | 0 |
| Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks | Feb 4, 2022 | AttributeFairness | —Unverified | 0 | 0 |
| Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses | Apr 5, 2025 | AttributeInference Attack | —Unverified | 0 | 0 |
| Do Backdoors Assist Membership Inference Attacks? | Mar 22, 2023 | 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 |
| DP-GPL: Differentially Private Graph Prompt Learning | Mar 13, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Eavesdrop the Composition Proportion of Training Labels in Federated Learning | Oct 14, 2019 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression | May 21, 2025 | Graph 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 |
| Eliminating Label Leakage in Tree-Based Vertical Federated Learning | Jul 19, 2023 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Evaluation of Inference Attack Models for Deep Learning on Medical Data | Oct 31, 2020 | AttributeDeep Learning | —Unverified | 0 | 0 |
| EXPLORING VULNERABILITIES OF BERT-BASED APIS | Jan 1, 2021 | AttributeInference Attack | —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 |
| Feature Inference Attack on Shapley Values | Jul 16, 2024 | Inference AttackPrivacy Preserving | —Unverified | 0 | 0 |
| Federated Graph Condensation with Information Bottleneck Principles | May 7, 2024 | Graph LearningInference Attack | —Unverified | 0 | 0 |
| Fingerprint Membership and Identity Inference Against Generative Adversarial Networks | Jun 21, 2024 | Generative Adversarial NetworkInference 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 |
| From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning | Jan 6, 2025 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| GAN-based Domain Inference Attack | Dec 22, 2022 | Generative Adversarial NetworkInference Attack | —Unverified | 0 | 0 |
| GAZEploit: Remote Keystroke Inference Attack by Gaze Estimation from Avatar Views in VR/MR Devices | Sep 12, 2024 | Gaze EstimationInference Attack | —Unverified | 0 | 0 |
| Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data | Jan 25, 2019 | BIG-bench Machine LearningGenerative Adversarial Network | —Unverified | 0 | 0 |
| Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks | Mar 24, 2025 | Graph ClassificationInference Attack | —Unverified | 0 | 0 |
| Holistic risk assessment of inference attacks in machine learning | Dec 15, 2022 | AttributeInference Attack | —Unverified | 0 | 0 |
| Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning | Apr 6, 2024 | Bayesian OptimizationFederated Learning | —Unverified | 0 | 0 |
| I Can Read Your Mind: Control Mechanism Secrecy of Networked Dynamical Systems under Inference Attacks | May 7, 2022 | Inference Attack | —Unverified | 0 | 0 |
| Identity-Focused Inference and Extraction Attacks on Diffusion Models | Oct 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Inference Attacks Against Face Recognition Model without Classification Layers | Jan 24, 2024 | Face RecognitionGenerative Adversarial Network | —Unverified | 0 | 0 |
| Inference Attacks: A Taxonomy, Survey, and Promising Directions | Jun 4, 2024 | Inference AttackSurvey | —Unverified | 0 | 0 |
| Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack | Nov 8, 2022 | Inference Attack | —Unverified | 0 | 0 |
| Interaction-level Membership Inference Attack Against Federated Recommender Systems | Jan 26, 2023 | AttributeFederated Learning | —Unverified | 0 | 0 |
| TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks | Nov 2, 2018 | Autonomous DrivingAutonomous Vehicles | —Unverified | 0 | 0 |
| Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation | May 30, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |