| Privacy Vulnerabilities in Marginals-based Synthetic Data | Oct 7, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Prompt-based Unifying Inference Attack on Graph Neural Networks | Dec 20, 2024 | DisentanglementInference Attack | —Unverified | 0 | 0 |
| Property inference attack; Graph neural networks; Privacy attacks and defense; Trustworthy machine learning | Sep 2, 2022 | Inference Attack | —Unverified | 0 | 0 |
| Purifier: Defending Data Inference Attacks via Transforming Confidence Scores | Dec 1, 2022 | AttributeInference Attack | —Unverified | 0 | 0 |
| Quantifying (Hyper) Parameter Leakage in Machine Learning | Oct 31, 2019 | BIG-bench Machine LearningInference Attack | —Unverified | 0 | 0 |
| Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics | Sep 11, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks | Mar 8, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Ranking Differential Privacy | Jan 2, 2023 | Inference Attack | —Unverified | 0 | 0 |
| ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods | Jun 23, 2024 | Inference AttackLanguage Modeling | —Unverified | 0 | 0 |
| Membership Privacy for Machine Learning Models Through Knowledge Transfer | Jun 15, 2019 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense | Apr 11, 2023 | Adversarial AttackAttribute | —Unverified | 0 | 0 |
| Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach | Jan 31, 2025 | Adversarial AttackConformal Prediction | —Unverified | 0 | 0 |
| Reducing audio membership inference attack accuracy to chance: 4 defenses | Oct 31, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Residue-based Label Protection Mechanisms in Vertical Logistic Regression | May 9, 2022 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries | Sep 1, 2020 | BIG-bench Machine LearningInference Attack | —Unverified | 0 | 0 |
| Securing Genomic Data Against Inference Attacks in Federated Learning Environments | May 12, 2025 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| See through Gradients: Image Batch Recovery via GradInversion | Apr 15, 2021 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Semantic Membership Inference Attack against Large Language Models | Jun 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Set-Membership Inference Attacks using Data Watermarking | Jun 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Sharing Models or Coresets: A Study based on Membership Inference Attack | Jul 6, 2020 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning | Sep 28, 2024 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack | Jan 14, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge | Feb 13, 2023 | Inference AttackLanguage Modeling | —Unverified | 0 | 0 |
| Task Contamination: Language Models May Not Be Few-Shot Anymore | Dec 26, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| TDDBench: A Benchmark for Training data detection | Nov 5, 2024 | BenchmarkingComputational Efficiency | —Unverified | 0 | 0 |
