privacy leakage

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ACL 2024 Protecting Split Learning by Potential Energy Loss IJCAI 2024 Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage EACL 2024 Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models EMNLP 2024 RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation NeurIPS 2024 Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought IJCAI 2024 TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models NeurIPS 2024 The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024 When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks IJCAI 2024 Anonymization for Skeleton Action Recognition AAAI 2023 Bag of Tricks for Training Data Extraction from Language Models ICML 2023 ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation AAAI 2023 ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation ACL 2023 FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models ICML 2023 GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023 Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract) AAAI 2023 On the Privacy Risks of Algorithmic Recourse AISTATS 2023 On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023 Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NeurIPS 2023 Privacy-Aware Rejection Sampling JMLR 2023 Privacy Implications of Retrieval-Based Language Models EMNLP 2023 ProPILE: Probing Privacy Leakage in Large Language Models NeurIPS 2023 Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023 Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe ACL 2023 TabLeak: Tabular Data Leakage in Federated Learning ICML 2023