privacy leakage

EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE ICLR 2025 Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models ACL 2025 Exploiting the Shadows: Unveiling Privacy Leaks through Lower-Ranked Tokens in Large Language Models ACL 2025 Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025 FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025 Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage AAAI 2025 From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning CVPR 2025 Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining NAACL 2025 IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization IJCNLP 2025 Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning L4DC 2025 Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers EMNLP 2025 Memorization in Language Models through the Lens of Intrinsic Dimension ACL 2025 MUSE: Machine Unlearning Six-Way Evaluation for Language Models ICLR 2025 Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies NAACL 2025 PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization ACL 2025 PII-Scope: A Comprehensive Study on Training Data Privacy Leakage in Pretrained LLMs IJCNLP 2025 Privacy Auditing of Large Language Models ICLR 2025 Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents EMNLP 2025 Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025 Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead ICML 2025 SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025 Scalable and Trustworthy Learning in Heterogeneous Networks AAAI 2025 Scalable Extraction of Training Data from Aligned, Production Language Models ICLR 2025 Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models IJCNLP 2025 Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack ACL 2025