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conftrace_

privacy risk

49 papers

Papers

Granular Privacy Control for Geolocation with Vision Language Models EMNLP 2024 LLMSYN: Generating Synthetic Electronic Health Records Without Patient-Level Data MLHC 2024 Membership Inference Attacks Against Time-Series Models ACML 2024 Noisy Neighbors: Efficient membership inference attacks against LLMs ACL 2024 Private Attribute Inference from Images with Vision-Language Models NeurIPS 2024 Quantifying and Analyzing Entity-Level Memorization in Large Language Models AAAI 2024 Reducing Privacy Risks in Online Self-Disclosures with Language Models ACL 2024 Teach LLMs to Phish: Stealing Private Information from Language Models ICLR 2024 Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024 Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024 A Pathway Towards Responsible AI Generated Content IJCAI 2023 Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023 Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information NeurIPS 2023 Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning NeurIPS 2023 Knowledge Unlearning for Mitigating Privacy Risks in Language Models ACL 2023 Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 2023 Similarity Distribution Based Membership Inference Attack on Person Re-identification AAAI 2023 Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023 An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models EMNLP 2022 Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP 2022 Behind the Mask: Demographic bias in name detection for PII masking ACL 2022 Neural Text Sanitization with Explicit Measures of Privacy Risk AACL 2022 Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks EMNLP 2022 How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021