← Application Areas
Machine Learning › Application Areas ›

Privacy

2794 directly classified papers

Papers per year

Papers

Fooling the Textual Fooler via Randomizing Latent Representations ACL 2024
Fully Geometric Panoramic Localization CVPR 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024
Fair Machine Unlearning: Data Removal while Mitigating Disparities AISTATS 2024
A2XP: Towards Private Domain Generalization CVPR 2024
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NIPS 2024
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NIPS 2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows CVPR 2024
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following ACL 2024
Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning NIPS 2024
Imposing Fairness Constraints in Synthetic Data Generation AISTATS 2024
Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks AAAI 2024
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024
Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration ACL 2024
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP EMNLP 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NIPS 2024
Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation NIPS 2024
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits EMNLP 2024
On Differentially Private Subspace Estimation in a Distribution-Free Setting NIPS 2024
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NIPS 2024
WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection ACL 2024
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NIPS 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NIPS 2024
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding ACL 2024
Certified private data release for sparse Lipschitz functions AISTATS 2024