general.md

C0. General

• [2024/12] PrivAgent: Agentic-based Red-teaming for LLM Privacy Leakage
• [2024/12] VLSBench: Unveiling Visual Leakage in Multimodal Safety
• [2024/11] Privacy Risks of Speculative Decoding in Large Language Models
• [2024/11] Can Humans Oversee Agents to Prevent Privacy Leakage? A Study on Privacy Awareness, Preferences, and Trust in Language Model Agents
• [2024/10] Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents
• [2024/08] LLM-PBE: Assessing Data Privacy in Large Language Models
• [2024/08] Data Exposure from LLM Apps: An In-depth Investigation of OpenAI's GPTs
• [2024/08] Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching
• [2024/08] Reducing Privacy Risks in Online Self-Disclosures with Language Models
• [2024/08] Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
• [2024/06] Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
• [2024/05] Learnable Privacy Neurons Localization in Language Models
• [2024/05] Information Leakage from Embedding in Large Language Models
• [2024/05] Air Gap: Protecting Privacy-Conscious Conversational Agents
• [2024/04] Can LLMs get help from other LLMs without revealing private information?
• [2024/03] Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk
• [2024/03] PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps
• [2024/03] Visual Privacy Auditing with Diffusion Models
• [2024/03] Analysis of Privacy Leakage in Federated Large Language Models
• [2024/03] CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
• [2024/02] The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
• [2024/01] Excuse me, sir? Your language model is leaking (information)
• [2023/10] Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning
• [2023/09] Beyond Memorization: Violating Privacy via Inference with Large Language Models
• [2023/09] Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
• [2023/09] Privacy Side Channels in Machine Learning Systems
• [2023/07] ProPILE: Probing Privacy Leakage in Large Language Models
• [2023/05] ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review