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Privacy

626 directly classified papers

Papers per year

Papers

PoWER Never Corrupts: Tool-Agnostic Verification of Crash Consistency and Corruption Detection OSDI 2025
Compass: Encrypted Semantic Search with High Accuracy OSDI 2025
Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining NAACL 2025
Scalable Dual Fingerprinting for Hierarchical Attribution of Text-to-Image Models ICCV 2025
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater AAAI 2025
Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications EMNLP 2024
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP EMNLP 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024
PostMark: A Robust Blackbox Watermark for Large Language Models EMNLP 2024
Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition WACV 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion EMNLP 2024
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models EMNLP 2024
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits EMNLP 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024
Deidentifying a Norwegian Clinical Corpus - an Effort to Create a Privacy-preserving Norwegian Large Clinical Language Model EACL 2024
Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage IJCAI 2024
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 2024
Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024
SynthProv: Interpretable Framework for Profiling Identity Leakage WACV 2024
PSILENCE: A Pseudonymization Tool for International Law EACL 2024
Computing epidemic metrics with edge differential privacy AISTATS 2024
Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024
Optimal Locally Private Nonparametric Classification with Public Data JMLR 2024
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024