conftrace_

privacy leakage

105 papers

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Co-occurring keywords

large language model (13587) membership inference (114) federated learning (1333) differential privacy (1016) adversarial attack (1621) language model (4599) membership inference attack (93) privacy preservation (380) privacy attack (119) personally identifiable information (33)

Papers

Scalable and Trustworthy Learning in Heterogeneous Networks AAAI 2025
Classifier-Free Guidance Inside the Attraction Basin May Cause Memorization CVPR 2025
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization ACL 2025
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks IJCAI 2025
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models IJCNLP 2025
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems NAACL 2025
FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025
Exploiting the Shadows: Unveiling Privacy Leaks through Lower-Ranked Tokens in Large Language Models ACL 2025
PII-Scope: A Comprehensive Study on Training Data Privacy Leakage in Pretrained LLMs IJCNLP 2025
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization IJCNLP 2025
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers EMNLP 2025
ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs NAACL 2025
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage AAAI 2025
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent EMNLP 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning CVPR 2025
Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies NAACL 2025
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents EMNLP 2025
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025
Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining NAACL 2025
Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025
Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective AAAI 2024
Protecting Split Learning by Potential Energy Loss IJCAI 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining NIPS 2024