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Inference Attack

Papers

Showing 101150 of 283 papers

TitleStatusHype
Membership Inference Attack Against Masked Image Modeling0
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities0
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning0
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data0
SeqMIA: Sequential-Metric Based Membership Inference AttackCode0
Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models0
Feature Inference Attack on Shapley Values0
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment0
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature0
A Method to Facilitate Membership Inference Attacks in Deep Learning ModelsCode0
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data0
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods0
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning0
Fingerprint Membership and Identity Inference Against Generative Adversarial Networks0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models0
Do Parameters Reveal More than Loss for Membership Inference?Code0
Semantic Membership Inference Attack against Large Language Models0
Machine Unlearning for Uplink Interference Cancellation0
Inference Attacks: A Taxonomy, Survey, and Promising Directions0
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation0
Towards Black-Box Membership Inference Attack for Diffusion Models0
The Mosaic Memory of Large Language ModelsCode0
GLiRA: Black-Box Membership Inference Attack via Knowledge DistillationCode0
Many-Shot Regurgitation (MSR) Prompting0
Federated Graph Condensation with Information Bottleneck Principles0
Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View0
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning0
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures0
τ: Gradient-based and Task-Agnostic machine Unlearning0
Low-Cost Privacy-Preserving Decentralized Learning0
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 Attacks0
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?0
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning0
De-identification is not always enough0
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation0
Inference Attacks Against Face Recognition Model without Classification Layers0
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation0
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 Anymore0
User Consented Federated Recommender System Against Personalized Attribute Inference AttackCode0
Adaptive Domain Inference Attack with Concept Hierarchy0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding0
Low-Cost High-Power Membership Inference AttacksCode0
DUCK: Distance-based Unlearning via Centroid KinematicsCode0
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated LearningCode0
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated LearningCode0
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?Code0
Preserving Privacy in GANs Against Membership Inference Attack0
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative ModelsCode0
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