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Inference Attack

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Showing 151–200 of 283 papers

TitleStatusHype
Black-Box Training Data Identification in GANs via Detector Networks—0
A Comprehensive Study of Privacy Risks in Curriculum Learning—0
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 Inference—0
Epsilon*: Privacy Metric for Machine Learning Models—0
Eliminating Label Leakage in Tree-Based Vertical Federated Learning—0
Membership Inference Attacks on DNNs using Adversarial PerturbationsCode0
Set-Membership Inference Attacks using Data Watermarking—0
Towards More Realistic Membership Inference Attacks on Large Diffusion Models—0
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems—0
Membership inference attack with relative decision boundary distance—0
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?—0
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models—0
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense—0
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 Discrimination—0
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge—0
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning—0
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes—0
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models—0
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds—0
Interaction-level Membership Inference Attack Against Federated Recommender Systems—0
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic DataCode0
Label Inference Attack against Split Learning under Regression SettingCode0
Ranking Differential Privacy—0
GAN-based Domain Inference Attack—0
White-box Inference Attacks against Centralized Machine Learning and Federated Learning—0
Dissecting Distribution InferenceCode0
Holistic risk assessment of inference attacks in machine learning—0
Privacy-Preserving Collaborative Learning through Feature Extraction—0
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores—0
Data Origin Inference in Machine LearningCode0
On the Alignment of Group Fairness with Attribute Privacy—0
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack—0
Local Model Reconstruction Attacks in Federated Learning and their Uses—0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models—0
Property inference attack; Graph neural networks; Privacy attacks and defense; Trustworthy machine learning—0
SNAP: Efficient Extraction of Private Properties with PoisoningCode0
Inferring Sensitive Attributes from Model ExplanationsCode0
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis ModelsCode0
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software DeploymentCode0
Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services—0
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel—0
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks—0
Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment—0
Privacy Against Inference Attacks in Vertical Federated Learning—0
Protecting Global Properties of Datasets with Distribution Privacy MechanismsCode0
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