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Inference Attack

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TitleStatusHype
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
MIA-Tuner: Adapting Large Language Models as Pre-training Text DetectorCode2
Membership Inference Attack Against Masked Image Modeling—0
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities—0
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data—0
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning—0
SeqMIA: Sequential-Metric Based Membership Inference AttackCode0
Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models—0
Feature Inference Attack on Shapley Values—0
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment—0
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature—0
A Method to Facilitate Membership Inference Attacks in Deep Learning ModelsCode0
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data—0
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods—0
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning—0
Fingerprint Membership and Identity Inference Against Generative Adversarial Networks—0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models—0
Do Parameters Reveal More than Loss for Membership Inference?Code0
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language ModelsCode2
Semantic Membership Inference Attack against Large Language Models—0
Machine Unlearning for Uplink Interference Cancellation—0
Inference Attacks: A Taxonomy, Survey, and Promising Directions—0
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation—0
Towards Black-Box Membership Inference Attack for Diffusion Models—0
The Mosaic Memory of Large Language ModelsCode0
Data Contamination Calibration for Black-box LLMsCode1
Many-Shot Regurgitation (MSR) Prompting—0
GLiRA: Black-Box Membership Inference Attack via Knowledge DistillationCode0
Federated Graph Condensation with Information Bottleneck Principles—0
Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View—0
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning—0
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures—0
τ: Gradient-based and Task-Agnostic machine Unlearning—0
Low-Cost Privacy-Preserving Decentralized Learning—0
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy RiskCode1
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference AttacksCode0
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks—0
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?—0
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated LearningCode1
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning—0
De-identification is not always enough—0
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation—0
Inference Attacks Against Face Recognition Model without Classification Layers—0
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation—0
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software DeploymentCode0
Task Contamination: Language Models May Not Be Few-Shot Anymore—0
Reinforcement UnlearningCode1
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