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Privacy

2794 directly classified papers

Papers per year

Papers

Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation EMNLP 2025
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs NAACL 2025
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent EMNLP 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025
QueryShield: A Platform to Mitigate Enterprise Data Leakage in Queries to External LLMs NAACL 2025
A Federated Framework for LLM-based Recommendation NAACL 2025
ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs NAACL 2025
Federated Graph Condensation with Information Bottleneck Principles AAAI 2025
UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models NAACL 2025
PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models NAACL 2025
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench NAACL 2025
Towards Operationalizing Right to Data Protection NAACL 2025
Differentially Private Learning Needs Better Model Initialization and Self-Distillation NAACL 2025
Privacy Preserving Data Selection for Bias Mitigation in Speech Models ACL 2025
CLEAR: Character Unlearning in Textual and Visual Modalities ACL 2025
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025
Efficient but Vulnerable: Benchmarking and Defending LLM Batch Prompting Attack ACL 2025
Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025
CluSanT: Differentially Private and Semantically Coherent Text Sanitization NAACL 2025
Analyzing Memorization in Large Language Models through the Lens of Model Attribution NAACL 2025
On the Vulnerability of Text Sanitization NAACL 2025
AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization ACL 2025
Exploiting Instruction-Following Retrievers for Malicious Information Retrieval ACL 2025
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs ACL 2025