| Membership Inference Attack Against Masked Image Modeling | Aug 13, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities | Aug 1, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning | Jul 26, 2024 | Federated LearningInference Attack | —Unverified | 0 |
| Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data | Jul 26, 2024 | AttributeGraph Sampling | —Unverified | 0 |
| SeqMIA: Sequential-Metric Based Membership Inference Attack | Jul 21, 2024 | Inference AttackKnowledge Distillation | CodeCode Available | 0 |
| Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models | Jul 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Feature Inference Attack on Shapley Values | Jul 16, 2024 | Inference AttackPrivacy Preserving | —Unverified | 0 |
| Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment | Jul 8, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature | Jul 3, 2024 | Deep LearningInference Attack | —Unverified | 0 |
| A Method to Facilitate Membership Inference Attacks in Deep Learning Models | Jul 2, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data | Jun 26, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods | Jun 23, 2024 | Inference AttackLanguage Modeling | —Unverified | 0 |
| Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning | Jun 22, 2024 | Federated LearningInference Attack | —Unverified | 0 |
| Fingerprint Membership and Identity Inference Against Generative Adversarial Networks | Jun 21, 2024 | Generative Adversarial NetworkInference Attack | —Unverified | 0 |
| Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models | Jun 18, 2024 | FairnessInference Attack | —Unverified | 0 |
| Do Parameters Reveal More than Loss for Membership Inference? | Jun 17, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Semantic Membership Inference Attack against Large Language Models | Jun 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Machine Unlearning for Uplink Interference Cancellation | Jun 10, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Inference Attacks: A Taxonomy, Survey, and Promising Directions | Jun 4, 2024 | Inference AttackSurvey | —Unverified | 0 |
| Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation | May 30, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Towards Black-Box Membership Inference Attack for Diffusion Models | May 25, 2024 | Image-VariationInference Attack | —Unverified | 0 |
| The Mosaic Memory of Large Language Models | May 24, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation | May 13, 2024 | image-classificationImage Classification | CodeCode Available | 0 |
| Many-Shot Regurgitation (MSR) Prompting | May 13, 2024 | ArticlesInference Attack | —Unverified | 0 |
| Federated Graph Condensation with Information Bottleneck Principles | May 7, 2024 | Graph LearningInference Attack | —Unverified | 0 |
| Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View | Apr 17, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning | Apr 6, 2024 | Bayesian OptimizationFederated Learning | —Unverified | 0 |
| A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures | Mar 24, 2024 | Federated LearningGraph Neural Network | —Unverified | 0 |
| τ: Gradient-based and Task-Agnostic machine Unlearning | Mar 21, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Low-Cost Privacy-Preserving Decentralized Learning | Mar 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks | Mar 4, 2024 | Inference AttackPrivacy Preserving | CodeCode Available | 0 |
| On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks | Feb 16, 2024 | Conformal PredictionInference Attack | —Unverified | 0 |
| Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks? | Feb 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning | Feb 7, 2024 | Image ClassificationInference Attack | —Unverified | 0 |
| De-identification is not always enough | Jan 31, 2024 | De-identificationInference Attack | —Unverified | 0 |
| Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation | Jan 26, 2024 | Inference AttackPrivacy Preserving | —Unverified | 0 |
| Inference Attacks Against Face Recognition Model without Classification Layers | Jan 24, 2024 | Face RecognitionGenerative Adversarial Network | —Unverified | 0 |
| Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation | Jan 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment | Jan 2, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Task Contamination: Language Models May Not Be Few-Shot Anymore | Dec 26, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| User Consented Federated Recommender System Against Personalized Attribute Inference Attack | Dec 23, 2023 | AttributeFederated Learning | CodeCode Available | 0 |
| Adaptive Domain Inference Attack with Concept Hierarchy | Dec 22, 2023 | Inference Attack | —Unverified | 0 |
| Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding | Dec 19, 2023 | Graph EmbeddingInductive Bias | —Unverified | 0 |
| Low-Cost High-Power Membership Inference Attacks | Dec 6, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| DUCK: Distance-based Unlearning via Centroid Kinematics | Dec 4, 2023 | Inference AttackMachine Unlearning | CodeCode Available | 0 |
| Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning | Nov 29, 2023 | Federated LearningInference Attack | CodeCode Available | 0 |
| MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning | Nov 28, 2023 | Federated LearningInference Attack | CodeCode Available | 0 |
| Are Normalizing Flows the Key to Unlocking the Exponential Mechanism? | Nov 15, 2023 | Bayesian InferenceInference Attack | CodeCode Available | 0 |
| Preserving Privacy in GANs Against Membership Inference Attack | Nov 6, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models | Oct 30, 2023 | AllInference Attack | CodeCode Available | 0 |