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Inference Attack

Papers

Showing 150 of 283 papers

TitleStatusHype
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language ModelsCode2
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt CalibrationCode2
MIA-Tuner: Adapting Large Language Models as Pre-training Text DetectorCode2
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic TradersCode1
Source Inference Attacks in Federated LearningCode1
Towards Unbounded Machine UnlearningCode1
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack PerspectiveCode1
Membership Inference Attacks and Defenses in Neural Network PruningCode1
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning ModelsCode1
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated LearningCode1
Semi-Leak: Membership Inference Attacks Against Semi-supervised LearningCode1
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation PerspectiveCode1
Systematic Evaluation of Privacy Risks of Machine Learning ModelsCode1
On the Difficulty of Membership Inference AttacksCode1
Membership Inference Attack on Graph Neural NetworksCode1
Membership Leakage in Label-Only ExposuresCode1
Deep Regression UnlearningCode1
Membership Inference Attacks Against Vision-Language ModelsCode1
Membership Inference Attack Using Self Influence FunctionsCode1
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning ModelsCode1
An Efficient Membership Inference Attack for the Diffusion Model by Proximal InitializationCode1
Practical Blind Membership Inference Attack via Differential ComparisonsCode1
Revisiting Membership Inference Under Realistic AssumptionsCode1
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic DataCode1
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy RiskCode1
Gaussian Membership Inference PrivacyCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
Synthesis of Realistic ECG using Generative Adversarial NetworksCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine LearningCode1
Are Attribute Inference Attacks Just Imputation?Code1
M^4I: Multi-modal Models Membership InferenceCode1
Data Contamination Calibration for Black-box LLMsCode1
Machine Learning with Membership Privacy using Adversarial RegularizationCode1
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning SettingsCode1
A Hybrid Self-Supervised Learning Framework for Vertical Federated LearningCode1
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and ImplicationsCode1
Membership Inference Attacks against Large Vision-Language ModelsCode1
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated LearningCode1
Membership Inference Attacks on Machine Learning: A SurveyCode1
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial ExamplesCode1
Membership Inference Attacks against Diffusion ModelsCode1
Membership Inference Attacks From First PrinciplesCode1
Efficient passive membership inference attack in federated learningCode1
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device MLCode1
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsificationCode1
Does CLIP Know My Face?Code1
Feature Inference Attack on Model Predictions in Vertical Federated LearningCode1
Reinforcement UnlearningCode1
When Machine Unlearning Jeopardizes PrivacyCode1
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