| 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 |
| Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration | Nov 10, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 2 |
| 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 |
| Black-Box Training Data Identification in GANs via Detector Networks | Oct 18, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| A Comprehensive Study of Privacy Risks in Curriculum Learning | Oct 16, 2023 | AttributeInference Attack | —Unverified | 0 |
| No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML | Oct 11, 2023 | GPUInference Attack | CodeCode Available | 1 |
| SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems | Sep 14, 2023 | Feature EngineeringInference Attack | CodeCode Available | 0 |
