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Inference Attack

Papers

Showing 101150 of 283 papers

TitleStatusHype
User Consented Federated Recommender System Against Personalized Attribute Inference AttackCode0
Adaptive Domain Inference Attack with Concept Hierarchy0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding0
Low-Cost High-Power Membership Inference Attacks0
DUCK: Distance-based Unlearning via Centroid KinematicsCode0
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated LearningCode0
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated LearningCode0
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?Code0
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt CalibrationCode2
Preserving Privacy in GANs Against Membership Inference Attack0
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative ModelsCode0
Black-Box Training Data Identification in GANs via Detector Networks0
A Comprehensive Study of Privacy Risks in Curriculum Learning0
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device MLCode1
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition SystemsCode0
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion ModelsCode0
VertexSerum: Poisoning Graph Neural Networks for Link Inference0
Epsilon*: Privacy Metric for Machine Learning Models0
Eliminating Label Leakage in Tree-Based Vertical Federated Learning0
Membership Inference Attacks on DNNs using Adversarial PerturbationsCode0
Set-Membership Inference Attacks using Data Watermarking0
Towards More Realistic Membership Inference Attacks on Large Diffusion Models0
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems0
Gaussian Membership Inference PrivacyCode1
Membership inference attack with relative decision boundary distance0
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?0
An Efficient Membership Inference Attack for the Diffusion Model by Proximal InitializationCode1
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models0
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense0
Do Backdoors Assist Membership Inference Attacks?0
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute ManipulationsCode0
Membership Inference Attack for Beluga Whales Discrimination0
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Towards Unbounded Machine UnlearningCode1
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge0
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning0
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes0
Membership Inference Attacks against Diffusion ModelsCode1
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models0
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds0
Interaction-level Membership Inference Attack Against Federated Recommender Systems0
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic DataCode0
Label Inference Attack against Split Learning under Regression SettingCode0
Ranking Differential Privacy0
GAN-based Domain Inference Attack0
White-box Inference Attacks against Centralized Machine Learning and Federated Learning0
Holistic risk assessment of inference attacks in machine learning0
Dissecting Distribution InferenceCode0
Privacy-Preserving Collaborative Learning through Feature Extraction0
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores0
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