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Inference Attack

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Showing 151–200 of 283 papers

TitleStatusHype
Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment—0
Quality Inference in Federated Learning with Secure Aggregation—0
Tool Unlearning for Tool-Augmented LLMs—0
Towards Black-Box Membership Inference Attack for Diffusion Models—0
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models—0
Towards More Realistic Membership Inference Attacks on Large Diffusion Models—0
Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View—0
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models—0
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks—0
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning—0
Unlearning Clients, Features and Samples in Vertical Federated Learning—0
Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation—0
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data—0
Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models—0
Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities—0
User-Level Membership Inference Attack against Metric Embedding Learning—0
VertexSerum: Poisoning Graph Neural Networks for Link Inference—0
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles—0
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning—0
Whispers of Data: Unveiling Label Distributions in Federated Learning Through Virtual Client Simulation—0
White-box Inference Attacks against Centralized Machine Learning and Federated Learning—0
White-box Membership Attack Against Machine Learning Based Retinopathy Classification—0
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?—0
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities—0
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning—0
A Comprehensive Study of Privacy Risks in Curriculum Learning—0
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls—0
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation—0
Adaptive Domain Inference Attack with Concept Hierarchy—0
Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services—0
Adversarial Privacy Preservation under Attribute Inference Attack—0
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation—0
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures—0
A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack—0
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms—0
An Efficient Subpopulation-based Membership Inference Attack—0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)—0
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks—0
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks—0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis—0
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models—0
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models—0
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation—0
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models—0
A Volumetric Approach to Privacy of Dynamical Systems—0
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data—0
A Blessing of Dimensionality in Membership Inference through Regularization—0
Black-Box Training Data Identification in GANs via Detector Networks—0
BLIA: Detect model memorization in binary classification model through passive Label Inference attack—0
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