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Privacy
363 directly classified papers
Papers per year
2008: 1
2011: 2
2012: 4
2013: 3
2014: 3
2015: 3
2016: 2
2017: 6
2018: 12
2019: 22
2020: 23
2021: 47
2022: 64
2023: 47
2024: 84
2025: 40
Papers
Differentially Private Prototypes for Imbalanced Transfer Learning
AAAI 2025
Watermarking Large Language Models: An Unbiased and Low-risk Method
ACL 2025
Prompt-based Unifying Inference Attack on Graph Neural Networks
AAAI 2025
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
AAAI 2025
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
AAAI 2025
Privacy-and-Utility-Aware Publishing of Schedules
AAAI 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
ICCV 2025
Differentially Private Fine-Tuning of Diffusion Models
ICCV 2025
Creating Coherence in Federated Non-Negative Matrix Factorization
AAAI 2025
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
AAAI 2025
On Probabilistic Truncation in Privacy-preserving Machine Learning
AAAI 2025
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
AAAI 2025
Minimax Optimal Two-Sample Testing under Local Differential Privacy
JMLR 2025
Medical Manifestation-Aware De-Identification
AAAI 2025
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
CVPR 2025
Differential Privacy Mechanisms in Neural Tangent Kernel Regression
WACV 2025
CDI: Copyrighted Data Identification in Diffusion Models
CVPR 2025
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning
IJCAI 2025
An Inversion-based Measure of Memorization for Diffusion Models
ICCV 2025
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting
AAAI 2025
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization
AAAI 2025
Diffusion-Based Active Learning for Distributed Client Manifolds
AAAI 2025
Identifying Unlearned Data in LLMs via Membership Inference Attacks
EMNLP 2025
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
AAAI 2025
Exploiting the Shadows: Unveiling Privacy Leaks through Lower-Ranked Tokens in Large Language Models
ACL 2025
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