| Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models | Sep 22, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Privacy-Preserving Collaborative Learning through Feature Extraction | Dec 13, 2022 | Fraud DetectionInference Attack | —Unverified | 0 |
| Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes | Feb 9, 2023 | Graph ReconstructionInference Attack | —Unverified | 0 |
| Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds | Feb 1, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Privacy Vulnerabilities in Marginals-based Synthetic Data | Oct 7, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Purifier: Defending Data Inference Attacks via Transforming Confidence Scores | Dec 1, 2022 | AttributeInference Attack | —Unverified | 0 |
| Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics | Sep 11, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks | Mar 8, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods | Jun 23, 2024 | Inference AttackLanguage Modeling | —Unverified | 0 |
| Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach | Jan 31, 2025 | Adversarial AttackConformal Prediction | —Unverified | 0 |
