| TDDBench: A Benchmark for Training data detection | Nov 5, 2024 | BenchmarkingComputational Efficiency | —Unverified | 0 |
| Tool Unlearning for Tool-Augmented LLMs | Feb 3, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Towards Black-Box Membership Inference Attack for Diffusion Models | May 25, 2024 | Image-VariationInference Attack | —Unverified | 0 |
| Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models | Feb 26, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Towards More Realistic Membership Inference Attacks on Large Diffusion Models | Jun 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View | Apr 17, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks | Feb 16, 2024 | Conformal PredictionInference Attack | —Unverified | 0 |
| Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning | Feb 7, 2024 | Image ClassificationInference Attack | —Unverified | 0 |
| Unlearning Clients, Features and Samples in Vertical Federated Learning | Jan 23, 2025 | Federated LearningInference Attack | —Unverified | 0 |
| Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models | Jul 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
