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

How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities EACL 2026
Your Prompts Are Not Safe: Output-Free Membership Inference via Prompt Vectors in Vision-Language Tuning AAAI 2026
Personal Information Parroting in Language Models EACL 2026
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025
Memorization is Language-Sensitive: Analyzing Memorization and Inference Risks of LLMs in a Multilingual Setting ACL 2025
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025
How Private are Language Models in Abstractive Summarization? EMNLP 2025
AI Knows Where You Are: Exposure, Bias, and Inference in Multimodal Geolocation with KoreaGEO EMNLP 2025
Identifying Unlearned Data in LLMs via Membership Inference Attacks EMNLP 2025
SUA: Stealthy Multimodal Large Language Model Unlearning Attack EMNLP 2025
Membership and Memorization in LLM Knowledge Distillation EMNLP 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector AAAI 2025
Gradient Inversion Attack in Federated Learning: Exposing Text Data through Discrete Optimization COLING 2025
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs COLING 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges ACL 2025
Private Attribute Inference from Images with Vision-Language Models NIPS 2024
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024
Reducing Privacy Risks in Online Self-Disclosures with Language Models ACL 2024
Noisy Neighbors: Efficient membership inference attacks against LLMs ACL 2024
Granular Privacy Control for Geolocation with Vision Language Models EMNLP 2024
Quantifying and Analyzing Entity-Level Memorization in Large Language Models AAAI 2024