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Inference Attack

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Showing 201–250 of 283 papers

TitleStatusHype
Property Inference Attacks Against GANsCode0
Knowledge Cross-Distillation for Membership Privacy—0
Efficient passive membership inference attack in federated learningCode1
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and ImplicationsCode1
Membership Inference Attack in Face of Data Transformations—0
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers—0
Source Inference Attacks in Federated LearningCode1
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
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation PerspectiveCode1
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 Attack Susceptibility of Clinical Language Models—0
Membership Inference Attacks on Knowledge Graphs—0
See through Gradients: Image Batch Recovery via GradInversion—0
Membership Inference Attacks on Machine Learning: A SurveyCode1
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
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning ModelsCode1
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms—0
Membership Inference Attack on Graph Neural NetworksCode1
Practical Blind Membership Inference Attack via Differential ComparisonsCode1
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
Feature Inference Attack on Model Predictions in Vertical Federated LearningCode1
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic TradersCode1
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
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
Against Membership Inference Attack: Pruning is All You Need—0
Membership Leakage in Label-Only ExposuresCode1
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning—0
Quality Inference in Federated Learning with Secure Aggregation—0
Sharing Models or Coresets: A Study based on Membership Inference Attack—0
Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers—0
On the Effectiveness of Regularization Against Membership Inference Attacks—0
On the Difficulty of Membership Inference AttacksCode1
Revisiting Membership Inference Under Realistic AssumptionsCode1
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks—0
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