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Privacy

2794 directly classified papers

Papers per year

Papers

A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025
DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis ICCV 2025
TrustMark: Robust Watermarking and Watermark Removal for Arbitrary Resolution Images ICCV 2025
Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025
VPR-Cloak: A First Look at Privacy Cloak Against Visual Place Recognition ICCV 2025
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference AAAI 2025
Less Static, More Private: Towards Transferable Privacy-Preserving Action Recognition by Generative Decoupled Learning ICCV 2025
Scalable Dual Fingerprinting for Hierarchical Attribution of Text-to-Image Models ICCV 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025
Semantic versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification ICCV 2025
Secure On-Device Video OOD Detection Without Backpropagation ICCV 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025
Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025
SEAL: Semantic Aware Image Watermarking ICCV 2025
Data-centric NLP Backdoor Defense from the Lens of Memorization NAACL 2025
MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples AAAI 2025
Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025
An Inversion-based Measure of Memorization for Diffusion Models ICCV 2025
Boundary Probing for Input Privacy Protection When Using LMM Services ICCV 2025
EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients ICCV 2025
Human-Inspired Obfuscation for Model Unlearning: Local and Global Strategies with Hyperbolic Representations EMNLP 2025
DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models ICCV 2025
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking ICCV 2025
Differentially Private Fine-Tuning of Diffusion Models ICCV 2025