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Inference Attack

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Showing 1–50 of 283 papers

TitleStatusHype
Orthogonal Soft Pruning for Efficient Class Unlearning—0
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack PerspectiveCode1
Apollo: A Posteriori Label-Only Membership Inference Attack Towards Machine UnlearningCode0
When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive LearningCode0
Membership Inference Attacks on Sequence Models—0
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks—0
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression—0
Securing Genomic Data Against Inference Attacks in Federated Learning Environments—0
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation—0
Automatic Calibration for Membership Inference Attack on Large Language ModelsCode0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)—0
Whispers of Data: Unveiling Label Distributions in Federated Learning Through Virtual Client Simulation—0
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics—0
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses—0
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks—0
BLIA: Detect model memorization in binary classification model through passive Label Inference attack—0
DP-GPL: Differentially Private Graph Prompt Learning—0
Efficient Membership Inference Attacks by Bayesian Neural Network—0
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models—0
Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion Models—0
A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack—0
Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation—0
DocMIA: Document-Level Membership Inference Attacks against DocVQA ModelsCode0
Privacy Attacks on Image AutoRegressive ModelsCode0
Tool Unlearning for Tool-Augmented LLMs—0
Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Differentially Private Steering for Large Language Model AlignmentCode0
Membership Inference Attacks Against Vision-Language ModelsCode1
Unlearning Clients, Features and Samples in Vertical Federated Learning—0
Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine LearningCode1
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack—0
A Volumetric Approach to Privacy of Dynamical Systems—0
From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning—0
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation—0
Prompt-based Unifying Inference Attack on Graph Neural Networks—0
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models—0
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning—0
Membership Inference Attack against Long-Context Large Language Models—0
On the Privacy Risk of In-context Learning—0
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment ApproachCode0
TDDBench: A Benchmark for Training data detection—0
Membership Inference Attacks against Large Vision-Language ModelsCode1
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity RecognitionCode0
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles—0
Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities—0
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic CommunicationsCode0
Privacy-Preserving Dynamic Assortment Selection—0
Identity-Focused Inference and Extraction Attacks on Diffusion Models—0
Privacy Vulnerabilities in Marginals-based Synthetic Data—0
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