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Privacy

2794 directly classified papers

Papers per year

Papers

Extending Off-the-shelf NER Systems to Personal Information Detection in Dialogues with a Virtual Agent: Findings from a Real-Life Use Case EACL 2024
Privacy-Preserving Optics for Enhancing Protection in Face De-Identification CVPR 2024
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression EMNLP 2024
On Leakage of Code Generation Evaluation Datasets EMNLP 2024
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024
Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach EACL 2024
Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models EMNLP 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024
Automatic Detection and Labelling of Personal Data in Case Reports from the ECHR in Spanish: Evaluation of Two Different Annotation Approaches EACL 2024
Downstream Trade-offs of a Family of Text Watermarks EMNLP 2024
GuardEmb: Dynamic Watermark for Safeguarding Large Language Model Embedding Service Against Model Stealing Attack EMNLP 2024
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation EMNLP 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NIPS 2024
Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain EACL 2024
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code EMNLP 2024
Progressive Poisoned Data Isolation for Training-Time Backdoor Defense AAAI 2024
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains EMNLP 2024
Defending Against Disinformation Attacks in Open-Domain Question Answering EACL 2024
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation EMNLP 2024
Online Sensitivity Optimization in Differentially Private Learning AAAI 2024
Compression with Exact Error Distribution for Federated Learning AISTATS 2024
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs EMNLP 2024
Differentially Private Natural Language Models: Recent Advances and Future Directions EACL 2024