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Privacy
363 directly classified papers
Papers per year
2008: 1
2011: 2
2012: 4
2013: 3
2014: 3
2015: 3
2016: 2
2017: 6
2018: 12
2019: 22
2020: 23
2021: 47
2022: 64
2023: 47
2024: 84
2025: 40
Papers
Membership Inference Attacks against Language Models via Neighbourhood Comparison
ACL 2023
ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation
ACL 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models
ACL 2023
Privacy-Preserving Domain Adaptation of Semantic Parsers
ACL 2023
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
EMNLP 2023
A Randomized Approach to Tight Privacy Accounting
NIPS 2023
Counterfactual Memorization in Neural Language Models
NIPS 2023
A Customized Text Sanitization Mechanism with Differential Privacy
ACL 2023
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release
NIPS 2023
On Computing Pairwise Statistics with Local Differential Privacy
NIPS 2023
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning
EMNLP 2023
Discrete Distribution Estimation under User-level Local Differential Privacy
AISTATS 2023
Practical Differentially Private Hyperparameter Tuning with Subsampling
NIPS 2023
A Smooth Binary Mechanism for Efficient Private Continual Observation
NIPS 2023
Optimal and Private Learning from Human Response Data
AISTATS 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
NIPS 2023
Private Image Generation With Dual-Purpose Auxiliary Classifier
CVPR 2023
Scalable Membership Inference Attacks via Quantile Regression
NIPS 2023
Redactor: A Data-Centric and Individualized Defense against Inference Attacks
AAAI 2023
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack
CVPR 2023
Nearly Tight Bounds For Differentially Private Multiway Cut
NIPS 2023
Interpretable Privacy Preservation of Text Representations Using Vector Steganography
AAAI 2022
Cosine Model Watermarking against Ensemble Distillation
AAAI 2022
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework
AAAI 2022
SPAct: Self-Supervised Privacy Preservation for Action Recognition
CVPR 2022
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