Who cites «StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements»

12 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing — our card · 2026 · arXiv:2603.23069
2. I Am No One: Style-Aware Paraphrasing for Text Anonymization — 2026 · arXiv:2609.12341
3. Interpreting Style Representations via Style-Eliciting Prompts — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
4. STAMP-R: Stylometric Text Anonymization with Memory-guided Policy Rewriting — 2026 · Proceedings of the Seventh Workshop on Privacy in Natural Language Processing
5. Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domains — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
6. Personalized Author Obfuscation with Large Language Models — 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
7. Personalized Text Generation with Contrastive Activation Steering — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
8. Some Odd Adversarial Perturbations and the Notion of Adversarial Closeness — 2025 · Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association
9. Steering Large Language Models with Register Analysis for Arbitrary Style Transfer — 2025 · arXiv:2505.00679
10. StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
11. Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
12. Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing