conftrace_

membership inference

114 papers

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Also known as

MI

Co-occurring keywords

privacy attack (119) membership inference attack (93) large language model (13587) privacy leakage (105) differential privacy (1016) language model (4599) machine unlearning (290) privacy risk (42) training datum (124) adversarial attack (1621)

Papers

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy IJCAI 2025
Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy ACL 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy ICCV 2025
EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint EMNLP 2025
Identifying Unlearned Data in LLMs via Membership Inference Attacks EMNLP 2025
Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning. ICCV 2025
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? AAAI 2025
Membership and Memorization in LLM Knowledge Distillation EMNLP 2025
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions NAACL 2025
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models AAAI 2025
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage AAAI 2025
Membership Inference Attacks with False Discovery Rate Control ICCV 2025
CDI: Copyrighted Data Identification in Diffusion Models CVPR 2025
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks IJCAI 2025
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025
R.R.: Unveiling LLM Training Privacy through Recollection and Ranking ACL 2025
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging EMNLP 2025
Automated Detection of Pre-training Text in Black-box LLMs IJCAI 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models EMNLP 2025
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition WACV 2025
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024
Data Contamination Calibration for Black-box LLMs ACL 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NIPS 2024