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Inference Attack

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Showing 101–150 of 283 papers

TitleStatusHype
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software DeploymentCode0
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software DeploymentCode0
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target ScenesCode0
Data and Model Dependencies of Membership Inference AttackCode0
SeqMIA: Sequential-Metric Based Membership Inference AttackCode0
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition SystemsCode0
SNAP: Efficient Extraction of Private Properties with PoisoningCode0
Membership Inference Attacks against Machine Learning ModelsCode0
Membership Inference Attacks Against Object Detection ModelsCode0
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?Code0
Membership Inference Attacks on DNNs using Adversarial PerturbationsCode0
Orthogonal Soft Pruning for Efficient Class Unlearning—0
Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers—0
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation—0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding—0
PPA: Preference Profiling Attack Against Federated Learning—0
Preserving Privacy in GANs Against Membership Inference Attack—0
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning—0
Privacy Against Inference Attacks in Vertical Federated Learning—0
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models—0
Privacy-Preserving Collaborative Learning through Feature Extraction—0
Privacy-Preserving Dynamic Assortment Selection—0
Privacy-Preserving Eye-tracking Using Deep Learning—0
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes—0
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds—0
Privacy Vulnerabilities in Marginals-based Synthetic Data—0
Prompt-based Unifying Inference Attack on Graph Neural Networks—0
Property inference attack; Graph neural networks; Privacy attacks and defense; Trustworthy machine learning—0
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores—0
Quantifying (Hyper) Parameter Leakage in Machine Learning—0
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics—0
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks—0
Ranking Differential Privacy—0
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods—0
Membership Privacy for Machine Learning Models Through Knowledge Transfer—0
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Reducing audio membership inference attack accuracy to chance: 4 defenses—0
Residue-based Label Protection Mechanisms in Vertical Logistic Regression—0
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries—0
Securing Genomic Data Against Inference Attacks in Federated Learning Environments—0
See through Gradients: Image Batch Recovery via GradInversion—0
Semantic Membership Inference Attack against Large Language Models—0
Set-Membership Inference Attacks using Data Watermarking—0
Sharing Models or Coresets: A Study based on Membership Inference Attack—0
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning—0
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack—0
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge—0
Task Contamination: Language Models May Not Be Few-Shot Anymore—0
TDDBench: A Benchmark for Training data detection—0
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