privacy attack

Membership Inference Attack Using Self Influence Functions WACV 2024 Order of Magnitude Speedups for LLM Membership Inference EMNLP 2024 Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NeurIPS 2024 Privacy Evaluation Benchmarks for NLP Models EMNLP 2024 PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques NeurIPS 2024 ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024 SPEAR: Exact Gradient Inversion of Batches in Federated Learning NeurIPS 2024 Towards More Realistic Membership Inference Attacks on Large Diffusion Models WACV 2024 Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024 User Inference Attacks on Large Language Models EMNLP 2024 You Only Query Once: An Efficient Label-Only Membership Inference Attack ICLR 2024 Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023 Are Diffusion Models Vulnerable to Membership Inference Attacks? ICML 2023 Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023 Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries ICLR 2023 Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023 Deep Regression Unlearning ICML 2023 Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023 Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023 ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation ACL 2023 FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023 GAN-Based Domain Inference Attack AAAI 2023 Manipulating Transfer Learning for Property Inference CVPR 2023 Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack NeurIPS 2023