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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

Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025
Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025
SUA: Stealthy Multimodal Large Language Model Unlearning Attack EMNLP 2025
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning ICCV 2025
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition WACV 2025
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models ACL 2025
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 2024
Order of Magnitude Speedups for LLM Membership Inference EMNLP 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NIPS 2024
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NIPS 2024
High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NIPS 2024
Privacy Evaluation Benchmarks for NLP Models EMNLP 2024
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques NIPS 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024
Membership Inference Attack Using Self Influence Functions WACV 2024
Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024
Confidence Is All You Need for MI Attacks (Student Abstract) AAAI 2024
DAGER: Exact Gradient Inversion for Large Language Models NIPS 2024
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models WACV 2024
Towards More Realistic Membership Inference Attacks on Large Diffusion Models WACV 2024
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models ACL 2024