| Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks | Feb 3, 2025 | Federated LearningInference Attack | —Unverified | 0 |
| Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach | Jan 31, 2025 | Adversarial AttackConformal Prediction | —Unverified | 0 |
| Differentially Private Steering for Large Language Model Alignment | Jan 30, 2025 | HallucinationInference Attack | CodeCode Available | 0 |
| Membership Inference Attacks Against Vision-Language Models | Jan 27, 2025 | Inference AttackMembership Inference Attack | CodeCode Available | 1 |
| Unlearning Clients, Features and Samples in Vertical Federated Learning | Jan 23, 2025 | Federated LearningInference Attack | —Unverified | 0 |
| Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning | Jan 20, 2025 | Inference AttackMachine Unlearning | CodeCode Available | 1 |
| Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack | Jan 14, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| A Volumetric Approach to Privacy of Dynamical Systems | Jan 6, 2025 | Inference Attack | —Unverified | 0 |
| 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 |
| 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 |
