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Privacy

2794 directly classified papers

Papers per year

Papers

FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data EMNLP 2025
PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality NSDI 2025
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation WACV 2025
Personalized Mixture of Experts for Multi-Site Medical Image Segmentation WACV 2025
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization IJCNLP 2025
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting IJCNLP 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025
Pre-Capture Privacy via Adaptive Single-Pixel Imaging WACV 2025
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval AAAI 2025
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation AAAI 2025
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems IJCNLP 2025
IBAS:Imperceptible Backdoor Attacks in Split Learning with Limited Information AAAI 2025
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes AAAI 2025
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025
AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy WACV 2025
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning AAAI 2025
Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025
Towards Privacy-Preserving Split Learning for ControlNet WACV 2025
Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models COLING 2025
A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection WACV 2025
On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025
Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025