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Inference Attack

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Showing 76–100 of 283 papers

TitleStatusHype
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Differentially Private Steering for Large Language Model AlignmentCode0
Unlearning Clients, Features and Samples in Vertical Federated Learning—0
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack—0
From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning—0
A Volumetric Approach to Privacy of Dynamical Systems—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
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
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning—0
Membership Privacy Evaluation in Deep Spiking Neural Networks—0
GAZEploit: Remote Keystroke Inference Attack by Gaze Estimation from Avatar Views in VR/MR Devices—0
Membership Inference Attacks Against In-Context Learning—0
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