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Privacy
490 directly classified papers
Papers per year
2011: 2
2012: 1
2016: 4
2017: 2
2018: 6
2019: 16
2020: 22
2021: 31
2022: 54
2023: 57
2024: 121
2025: 161
2026: 13
Papers
XRand: Differentially Private Defense against Explanation-Guided Attacks
AAAI 2023
Steganography of Steganographic Networks
AAAI 2023
Trade-Offs Between Fairness and Privacy in Language Modeling
ACL 2023
Membership Inference Attacks against Language Models via Neighbourhood Comparison
ACL 2023
Training Data Extraction From Pre-trained Language Models: A Survey
ACL 2023
Copyright Violations and Large Language Models
EMNLP 2023
Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models
EMNLP 2023
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
EMNLP 2023
Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation
EMNLP 2023
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer
CVPR 2023
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
CVPR 2023
Model Sparsity Can Simplify Machine Unlearning
NIPS 2023
Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions
AAAI 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
AAAI 2023
Redactor: A Data-Centric and Individualized Defense against Inference Attacks
AAAI 2023
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
ACL 2023
ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation
ACL 2023
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment
ACL 2023
TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations
ACL 2023
A Customized Text Sanitization Mechanism with Differential Privacy
ACL 2023
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
ACL 2023
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models
EMNLP 2023
Multi-step Jailbreaking Privacy Attacks on ChatGPT
EMNLP 2023
Tunable Soft Prompts are Messengers in Federated Learning
EMNLP 2023
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
NIPS 2023
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