privacy attack

118 papers

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Co-occurring keywords

membership inference (113) membership inference attack (87) federated learning (1320) large language model (12755) gradient inversion (21) adversarial attack (1599) language model (4573) gradient inversion attack (29) model inversion (31) data privacy (106)

Papers

DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans NIPS 2024

Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024

Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models WACV 2024

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NIPS 2024

Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence ACL 2023

Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023

Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023

Training Data Extraction From Pre-trained Language Models: A Survey ACL 2023

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023

Privacy Risks in Speech Emotion Recognition: A Systematic Study on Gender Inference Attack INTERSPEECH 2023

Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses CVPR 2023

Are Diffusion Models Vulnerable to Membership Inference Attacks? ICML 2023

Deep Regression Unlearning ICML 2023

Similarity Distribution Based Membership Inference Attack on Person Re-identification AAAI 2023

Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023

Students Parrot Their Teachers: Membership Inference on Model Distillation NIPS 2023

Mnemonist: Locating Model Parameters that Memorize Training Examples UAI 2023

Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023

On the Privacy Risks of Algorithmic Recourse AISTATS 2023

SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. ICML 2023

Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023

Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023

Privacy Attacks on Schedule-Driven Data AAAI 2023

GAN-Based Domain Inference Attack AAAI 2023