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Inference Attack

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Showing 201–250 of 283 papers

TitleStatusHype
White-box Membership Attack Against Machine Learning Based Retinopathy Classification—0
A Blessing of Dimensionality in Membership Inference through Regularization—0
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks—0
Residue-based Label Protection Mechanisms in Vertical Logistic Regression—0
I Can Read Your Mind: Control Mechanism Secrecy of Networked Dynamical Systems under Inference Attacks—0
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated LearningCode0
Similarity-based Label Inference Attack against Training and Inference of Split Learning—0
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation—0
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks—0
User-Level Membership Inference Attack against Metric Embedding Learning—0
An Efficient Subpopulation-based Membership Inference Attack—0
PPA: Preference Profiling Attack Against Federated Learning—0
LTU Attacker for Membership InferenceCode0
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks—0
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership InferenceCode0
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models—0
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis—0
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine LearningCode0
Correlation inference attacks against machine learning modelsCode0
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning—0
Machine unlearning via GAN—0
Property Inference Attacks Against GANsCode0
Knowledge Cross-Distillation for Membership Privacy—0
Membership Inference Attack in Face of Data Transformations—0
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers—0
Formalizing and Estimating Distribution Inference RisksCode0
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning—0
Membership Inference Attacks on Lottery Ticket NetworksCode0
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning—0
Membership Inference on Word Embedding and Beyond—0
Privacy-Preserving Eye-tracking Using Deep Learning—0
Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs—0
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference PerspectiveCode0
Bounding Information Leakage in Machine Learning—0
Membership Inference Attacks on Knowledge Graphs—0
Membership Inference Attack Susceptibility of Clinical Language Models—0
See through Gradients: Image Batch Recovery via GradInversion—0
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models—0
Quantifying identifiability to choose and audit ε in differentially private deep learningCode0
On the privacy-utility trade-off in differentially private hierarchical text classificationCode0
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party SettingCode0
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target ScenesCode0
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms—0
EXPLORING VULNERABILITIES OF BERT-BASED APIS—0
Evaluation of Inference Attack Models for Deep Learning on Medical Data—0
Investigating Membership Inference Attacks under Data DependenciesCode0
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks—0
Revisiting the Threat Space for Vision-based Keystroke Inference AttacksCode0
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics—0
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries—0
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