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Privacy
2794 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 1
2011: 2
2012: 7
2013: 10
2014: 7
2015: 18
2016: 23
2017: 40
2018: 65
2019: 133
2020: 167
2021: 289
2022: 342
2023: 484
2024: 502
2025: 522
2026: 179
Papers
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
NAACL 2024
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
AAAI 2024
Defending Against Disinformation Attacks in Open-Domain Question Answering
EACL 2024
Analysis of Privacy Leakage in Federated Large Language Models
AISTATS 2024
Purified and Unified Steganographic Network
CVPR 2024
Putting Context in Context: the Impact of Discussion Structure on Text Classification
EACL 2024
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models
ACL 2024
Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
CVPR 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
CVPR 2024
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation
AAAI 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
Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks
AAAI 2024
A2XP: Towards Private Domain Generalization
CVPR 2024
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
NIPS 2024
Federated Learning via Input-Output Collaborative Distillation
AAAI 2024
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
NIPS 2024
Differentially Private Natural Language Models: Recent Advances and Future Directions
EACL 2024
Improving Authorship Privacy: Adaptive Obfuscation with the Dynamic Selection of Techniques
ACL 2024
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
ACL 2024
Protecting Privacy in Classifiers by Token Manipulation
ACL 2024
Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning
NIPS 2024
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
NAACL 2024
Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs
ACL 2024
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