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Privacy

490 directly classified papers

Papers per year

Papers

A Smooth Binary Mechanism for Efficient Private Continual Observation NIPS 2023
Differential Privacy in Cooperative Multiagent Planning UAI 2023
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions ICML 2022
Automated speech tools for helping communities process restricted-access corpora for language revival efforts ACL 2022
Neural Text Sanitization with Explicit Measures of Privacy Risk AACL 2022
Unveiling Real-Life Effects of Online Photo Sharing WACV 2022
Neural Text Sanitization with Explicit Measures of Privacy Risk IJCNLP 2022
Should I disclose my dataset? Caveats between reproducibility and individual data rights EMNLP 2022
Provably Confidential Language Modelling NAACL 2022
Differentially Private Instance Encoding against Privacy Attacks NAACL 2022
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models EMNLP 2022
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models EMNLP 2022
Fair NLP Models with Differentially Private Text Encoders EMNLP 2022
Canary Extraction in Natural Language Understanding Models ACL 2022
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark AAAI 2022
A bounded-noise mechanism for differential privacy COLT 2022
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs COLING 2022
PrivateSNN: Privacy-Preserving Spiking Neural Networks AAAI 2022
Public Data-Assisted Mirror Descent for Private Model Training ICML 2022
Addressing Segmentation Ambiguity in Neural Linguistic Steganography IJCNLP 2022
Privacy Preserving Partial Localization CVPR 2022
GradViT: Gradient Inversion of Vision Transformers CVPR 2022
Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP 2022