conftrace_

privacy risk

42 papers

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Co-occurring keywords

membership inference attack (93) large language model (13587) membership inference (114) privacy attack (119) language model (4599) privacy preservation (380) named entity recognition (2813) federated learning (1333) privacy protection (162) vision-language model (2348)

Papers

Extracting Training Data from Molecular Pre-trained Models NIPS 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NIPS 2024
Similarity Distribution Based Membership Inference Attack on Person Re-identification AAAI 2023
Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information NIPS 2023
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023
Knowledge Unlearning for Mitigating Privacy Risks in Language Models ACL 2023
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning NIPS 2023
A Pathway Towards Responsible AI Generated Content IJCAI 2023
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023
Behind the Mask: Demographic bias in name detection for PII masking ACL 2022
Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP 2022
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models EMNLP 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks EMNLP 2022
Neural Text Sanitization with Explicit Measures of Privacy Risk IJCNLP 2022
Neural Text Sanitization with Explicit Measures of Privacy Risk AACL 2022
How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021