🔗 Who cites «BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain»

101 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain»

1. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
2. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
3. Weight Poisoning Attacks on Pretrained ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Keita Kurita, Paul Michel, Graham Neubig2020 · 416 citations
4. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!arXiv:2310.03693Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.2023 · 355 citations
5. ONION: A Simple and Effective Defense Against Textual Backdoor AttacksConference on Empirical Methods in Natural Language Processing (EMNLP)Fanchao Qi, Yangyi Chen, Mukai Li, et al.2021 · 280 citations
6. The Curse of Recursion: Training on Generated Data Makes Models ForgetarXiv:2305.17493Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 255 citations
7. Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Fanchao Qi, Mukai Li, Yangyi Chen, et al.2021 · 238 citations
8. Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style TransferConference on Empirical Methods in Natural Language Processing (EMNLP)Fanchao Qi, Yangyi Chen, Xurui Zhang, et al.2021 · 189 citations
9. Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wenkai Yang, Lei Li, Zhiyuan Zhang, et al.2021 · 135 citations
10. RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenkai Yang, Yankai Lin, Peng Li, et al.2021 · 112 citations
11. The Trickle-down Impact of Reward (In-)consistency on RLHFarXiv:2309.16155Lingfeng Shen, Sihao Chen, Linfeng Song, et al.2023 · 11 citations
12. Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Zesheng Shi, Zeen Zhu, et al.2026 · 10 citations
13. P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMsFindings of the Association for Computational LinguisticsShuai Zhao, Xinyi Wu, Shiqian Zhao, et al.2026 · 3 citations
14. Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy BackdoorsAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Yin, Tianxu Han, Naen Xu, et al.2026 · 1 citation
15. Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language ModelsFindings of the Association for Computational LinguisticsHoang-Chau Luong, Lingwei Chen2026

86 more papers of our library cite it; they have no page here yet.

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