conftrace_

information leakage

24 papers

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Co-occurring keywords

large language model (13587) privacy preservation (380) privacy attack (119) differential privacy (1016) membership inference (114) membership inference attack (93) adversarial learning (1595) privacy leakage (105) sensitive attribute (44) personally identifiable information (33)

Papers

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents ACL 2026
Privacy Preserving In-Context-Learning Framework for Large Language Models AAAI 2026
Do LLMs Really Memorize Personally Identifiable Information? Revisiting PII Leakage with a Cue-Controlled Memorization Framework ACL 2026
VAGUE‐Gate: Plug‐and‐Play Local‐Privacy Shield for Retrieval‐Augmented Generation AACL 2025
Fundamental Limits of Membership Inference Attacks on Machine Learning Models JMLR 2025
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering EMNLP 2025
A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025
Understanding PII Leakage in Large Language Models: A Systematic Survey IJCAI 2025
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NIPS 2024
Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning WACV 2024
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NIPS 2024
Can LLMs get help from other LLMs without revealing private information? ACL 2024
Noisy adversarial representation learning for effective and efficient image obfuscation UAI 2023
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence ACL 2023
A Consistent and Efficient Evaluation Strategy for Attribution Methods ICML 2022
Measuring data leakage in machine-learning models with Fisher information UAI 2021
Learner-Private Convex Optimization ICML 2021
How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images AAAI 2021
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks CVPR 2020
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020
On Log-Loss Scores and (No) Privacy EMNLP 2020
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation NIPS 2020
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019