privacy attack

Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy ICCV 2025 Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025 R.R.: Unveiling LLM Training Privacy through Recollection and Ranking ACL 2025 Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models NAACL 2025 SlerpFace: Face Template Protection via Spherical Linear Interpolation AAAI 2025 SUA: Stealthy Multimodal Large Language Model Unlearning Attack EMNLP 2025 TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent EMNLP 2025 Understanding PII Leakage in Large Language Models: A Systematic Survey IJCAI 2025 Unveiling Privacy Risks in LLM Agent Memory ACL 2025 Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025 Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025 An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization ICLR 2024 An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 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 NeurIPS 2024 Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning ICLR 2024 Confidence Is All You Need for MI Attacks (Student Abstract) AAAI 2024 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NeurIPS 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans NeurIPS 2024 Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models ACL 2024 Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models WACV 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024 Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration NeurIPS 2024