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Privacy

490 directly classified papers

Papers per year

Papers

Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction CVPR 2024

CPR: Retrieval Augmented Generation for Copyright Protection CVPR 2024

Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning CVPR 2024

GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis ACL 2024

Privacy-Preserving Optics for Enhancing Protection in Face De-Identification CVPR 2024

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NIPS 2024

Differentially Private Equivalence Testing for Continuous Distributions and Applications NIPS 2024

Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024

Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models EMNLP 2024

THInImg: Cross-Modal Steganography for Presenting Talking Heads in Images WACV 2024

Exploring Memorization in Fine-tuned Language Models ACL 2024

Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NIPS 2024

Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract) AAAI 2024

Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024

Pre-training Differentially Private Models with Limited Public Data NIPS 2024

Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs NAACL 2024

Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications EMNLP 2024

Where Am I From? Identifying Origin of LLM-generated Content EMNLP 2024

Who Wrote this Code? Watermarking for Code Generation ACL 2024

Permutation Equivariance of Transformers and Its Applications CVPR 2024

In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NIPS 2024

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024

ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024

GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory EMNLP 2024