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

SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs ACL 2026
Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models EACL 2026
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense AAAI 2026
Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning ACL 2026
Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models AAAI 2026
STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models AAAI 2026
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack AAAI 2026
Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models AAAI 2026
RPGen: Robust and Differentially Private Synthetic Image Generation AAAI 2026
CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training ACL 2026
Auditing Language Model Unlearning via Information Decomposition EACL 2026
InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference AAAI 2026
Copyright Infringement Detection in Text-to-Image Diffusion Models via Differential Privacy AAAI 2026
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models AAAI 2026
The Model’s Language Matters: A Comparative Privacy Analysis of LLMs EACL 2026
PII-Scope: A Comprehensive Study on Training Data Privacy Leakage in Pretrained LLMs AACL 2025
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models ACL 2025
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models IJCNLP 2025
ALGEN: Few-shot Inversion Attacks on Textual Embeddings via Cross-Model Alignment and Generation ACL 2025
Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack ACL 2025
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization AACL 2025
PII-Scope: A Comprehensive Study on Training Data Privacy Leakage in Pretrained LLMs IJCNLP 2025
Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025
1-2-3 Check: Enhancing Contextual Privacy in LLM via Multi-Agent Reasoning ACL 2025
Attribute Inference Attacks for Federated Regression Tasks AAAI 2025