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Privacy

490 directly classified papers

Papers per year

Papers

Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4 EMNLP 2024
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs EMNLP 2024
Revisiting the Robustness of Watermarking to Paraphrasing Attacks EMNLP 2024
Invisible Image Watermarks Are Provably Removable Using Generative AI NIPS 2024
Pre-training Differentially Private Models with Limited Public Data NIPS 2024
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning NIPS 2024
Detecting Personal Identifiable Information in Swedish Learner Essays EACL 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024
Granular Privacy Control for Geolocation with Vision Language Models EMNLP 2024
Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024
Extracting Prompts by Inverting LLM Outputs EMNLP 2024
Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs NAACL 2024
Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models EMNLP 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients EMNLP 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction CVPR 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024
Ungeneralizable Examples CVPR 2024
Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024
SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices NIPS 2024
Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition IJCAI 2024
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection NIPS 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024
THInImg: Cross-Modal Steganography for Presenting Talking Heads in Images WACV 2024