SOTAVerified

Inference Attack

Papers

Showing 51100 of 283 papers

TitleStatusHype
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software DeploymentCode0
Correlation inference attacks against machine learning modelsCode0
See through Gradients: Image Batch Recovery via GradInversionCode0
Apollo: A Posteriori Label-Only Membership Inference Attack Towards Machine UnlearningCode0
RIGA: Covert and Robust White-Box Watermarking of Deep Neural NetworksCode0
Data and Model Dependencies of Membership Inference AttackCode0
Reconstruction and Membership Inference Attacks against Generative ModelsCode0
Data Origin Inference in Machine LearningCode0
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic CommunicationsCode0
Protecting Global Properties of Datasets with Distribution Privacy MechanismsCode0
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion ModelsCode0
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software DeploymentCode0
Quantifying identifiability to choose and audit ε in differentially private deep learningCode0
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference PerspectiveCode0
Privacy Attacks on Image AutoRegressive ModelsCode0
Privacy Risks of Securing Machine Learning Models against Adversarial ExamplesCode0
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis ModelsCode0
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?Code0
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party SettingCode0
Property Inference Attacks Against GANsCode0
Revisiting the Threat Space for Vision-based Keystroke Inference AttacksCode0
SeqMIA: Sequential-Metric Based Membership Inference AttackCode0
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment ApproachCode0
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated LearningCode0
An Empirical Study on the Intrinsic Privacy of SGDCode0
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine LearningCode0
The Mosaic Memory of Large Language ModelsCode0
On the privacy-utility trade-off in differentially private hierarchical text classificationCode0
Membership Inference Attacks on Lottery Ticket NetworksCode0
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated LearningCode0
Membership Inference Attacks Against Object Detection ModelsCode0
DUCK: Distance-based Unlearning via Centroid KinematicsCode0
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine LearningCode0
Membership Inference Attacks on DNNs using Adversarial PerturbationsCode0
A Method to Facilitate Membership Inference Attacks in Deep Learning ModelsCode0
Membership Inference Attacks against Machine Learning ModelsCode0
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership InferenceCode0
Do Parameters Reveal More than Loss for Membership Inference?Code0
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target ScenesCode0
Automatic Calibration for Membership Inference Attack on Large Language ModelsCode0
DocMIA: Document-Level Membership Inference Attacks against DocVQA ModelsCode0
Dissecting Distribution InferenceCode0
Low-Cost High-Power Membership Inference AttacksCode0
Differentially Private Steering for Large Language Model AlignmentCode0
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic DataCode0
LTU Attacker for Membership InferenceCode0
Investigating Membership Inference Attacks under Data DependenciesCode0
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference AttacksCode0
Inferring Sensitive Attributes from Model ExplanationsCode0
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity RecognitionCode0
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