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Security & Privacy

1,030 papers (5 classified directly here)

Subtopics

Privacy (638) Differential Privacy (414)

Papers per year

2
9
49
227
'10
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'25

Papers (including subtopics)

IDFace: Face Template Protection for Efficient and Secure Identification ICCV 2025
Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning ICCV 2025
Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025
Differentially Private Fine-Tuning of Diffusion Models ICCV 2025
PlugMark: A Plug-in Zero-Watermarking Framework for Diffusion Models ICCV 2025
FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025
CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks ICCV 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy ICCV 2025
When and Where do Data Poisons Attack Textual Inversion? ICCV 2025
TAG-WM: Tamper-Aware Generative Image Watermarking via Diffusion Inversion Sensitivity ICCV 2025
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models ICCV 2025
Scalable Dual Fingerprinting for Hierarchical Attribution of Text-to-Image Models ICCV 2025
Automated Detection of Pre-training Text in Black-box LLMs IJCAI 2025
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025
Privacy Preserving Solution of DCOPs by Local Search IJCAI 2025
Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies IJCAI 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025
RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework IJCAI 2025
Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy IJCAI 2025
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric IJCAI 2025
Model Rake: A Defense Against Stealing Attacks in Split Learning IJCAI 2025
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee IJCAI 2025
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs IJCAI 2025