| 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 |
| Membership Inference Attacks against Large Vision-Language Models | Nov 5, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 1 |
| Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition | Nov 4, 2024 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 0 |
| WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles | Nov 2, 2024 | Computational EfficiencyData Valuation | —Unverified | 0 |
| Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities | Oct 31, 2024 | Face RecognitionInference Attack | —Unverified | 0 |
| Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications | Oct 30, 2024 | AttributeContrastive Learning | CodeCode Available | 0 |
| Privacy-Preserving Dynamic Assortment Selection | Oct 29, 2024 | Inference AttackPrivacy Preserving | —Unverified | 0 |
| Identity-Focused Inference and Extraction Attacks on Diffusion Models | Oct 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Privacy Vulnerabilities in Marginals-based Synthetic Data | Oct 7, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
