| From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning | Jan 6, 2025 | Federated LearningInference Attack | —Unverified | 0 |
| AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation | Jan 4, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Prompt-based Unifying Inference Attack on Graph Neural Networks | Dec 20, 2024 | DisentanglementInference Attack | —Unverified | 0 |
| A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models | Dec 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning | Dec 2, 2024 | Inference AttackL2 Regularization | —Unverified | 0 |
| Membership Inference Attack against Long-Context Large Language Models | Nov 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| On the Privacy Risk of In-context Learning | Nov 15, 2024 | In-Context LearningInference Attack | —Unverified | 0 |
| Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach | Nov 6, 2024 | DiversityInference Attack | CodeCode Available | 0 |
| TDDBench: A Benchmark for Training data detection | Nov 5, 2024 | BenchmarkingComputational Efficiency | —Unverified | 0 |
| Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition | Nov 4, 2024 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 0 |
