conftrace_

privacy auditing

15 papers

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Co-occurring keywords

membership inference attack (93) differential privacy (1016) membership inference (114) privacy leakage (105) large language model (13587) stochastic gradient descent (1091) label inference attack (5) reconstruction advantage (1) privatization mechanism (2) information leakage (24)

Papers

Fast-MIA: Efficient and Scalable Membership Inference for LLMs ACL 2026
Powerful Training-Free Membership Inference Against Fine-Tuned Autoregressive Language Models ACL 2026
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks AAAI 2026
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis EACL 2026
Auditing Privacy Mechanisms via Label Inference Attacks NIPS 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining NIPS 2024
Quantifying Unintended Memorization in BEST-RQ ASR Encoders INTERSPEECH 2024
Noisy Neighbors: Efficient membership inference attacks against LLMs ACL 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning NIPS 2024
Unleashing the Power of Randomization in Auditing Differentially Private ML NIPS 2023
Privacy Auditing with One (1) Training Run NIPS 2023
A General Framework for Auditing Differentially Private Machine Learning NIPS 2022
Auditing Differentially Private Machine Learning: How Private is Private SGD? NIPS 2020
On Log-Loss Scores and (No) Privacy EMNLP 2020
Tamper-Proof Privacy Auditing for Artificial Intelligence Systems IJCAI 2018