| Starcoder 2 and the stack v2: The next generation A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ... arXiv preprint arXiv:2402.19173, 2024 | 209 | 2024 |
| Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering L Lyu, J Jin, S Rajasegarar, X He, M Palaniswami IEEE Internet of Things Journal 4 (5), 1174-1184, 2017 | 133 | 2017 |
| Model extraction and adversarial transferability, your BERT is vulnerable! X He, L Lyu, Q Xu, L Sun Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 107 | 2021 |
| Protecting intellectual property of language generation apis with lexical watermark X He, Q Xu, L Lyu, F Wu, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10758 …, 2022 | 99 | 2022 |
| Differentially private representation for nlp: Formal guarantee and an empirical study on privacy and fairness L Lyu, X He, Y Li Findings of the Association for Computational Linguistics: EMNLP 2020, 2355–2365, 2020 | 93 | 2020 |
| Privacy-preserving collaborative deep learning with application to human activity recognition L Lyu, X He, YW Law, M Palaniswami Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 90 | 2017 |
| Use of llms for illicit purposes: Threats, prevention measures, and vulnerabilities M Mozes, X He, B Kleinberg, LD Griffin arXiv preprint arXiv:2308.12833, 2023 | 87 | 2023 |
| Generate, annotate, and learn: NLP with synthetic text X He, I Nassar, J Kiros, G Haffari, M Norouzi Transactions of the Association for Computational Linguistics 10, 826-842, 2022 | 86* | 2022 |
| Cater: Intellectual property protection on text generation apis via conditional watermarks X He, Q Xu, Y Zeng, L Lyu, F Wu, J Li, R Jia Advances in Neural Information Processing Systems 35, 5431-5445, 2022 | 82 | 2022 |
| Fog-embedded deep learning for the Internet of Things L Lyu, JC Bezdek, X He, J Jin IEEE Transactions on Industrial Informatics 15 (7), 4206-4215, 2019 | 66 | 2019 |
| Word representation models for morphologically rich languages in neural machine translation E Vylomova, T Cohn, X He, G Haffari Proceedings of the First Workshop on Subword and Character Level Models in …, 2016 | 64 | 2016 |
| Sequence to sequence mixture model for diverse machine translation X He, G Haffari, M Norouzi Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 61 | 2018 |
| Towards differentially private text representations L Lyu, Y Li, X He, T Xiao Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 47 | 2020 |
| Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation X He, G Haffari, M Norouzi Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 46 | 2020 |
| Are We Done with MMLU? AP Gema, JOJ Leang, G Hong, A Devoto, ACM Mancino, R Saxena, X He, ... arXiv preprint arXiv:2406.04127, 2024 | 37* | 2024 |
| Student surpasses teacher: Imitation attack for black-box NLP APIs Q Xu, X He, L Lyu, L Qu, G Haffari Proceedings of the 29th International Conference on Computational Linguistics, 2021 | 33* | 2021 |
| Privacy-preserving collaborative fuzzy clustering L Lyu, JC Bezdek, YW Law, X He, M Palaniswami Data & Knowledge Engineering 116, 21-41, 2018 | 29 | 2018 |
| G3detector: General gpt-generated text detector H Zhan, X He, Q Xu, Y Wu, P Stenetorp arXiv preprint arXiv:2305.12680, 2023 | 23 | 2023 |
| Irokobench: A new benchmark for african languages in the age of large language models DI Adelani, J Ojo, IA Azime, JY Zhuang, JO Alabi, X He, M Ochieng, ... arXiv preprint arXiv:2406.03368, 2024 | 15* | 2024 |
| Magic pyramid: Accelerating inference with early exiting and token pruning X He, I Keivanloo, Y Xu, X He, B Zeng, S Rajagopalan, T Chilimbi NeurIPS 2021 Workshop on Efficient Natural Language and Speech Processing, 2021 | 15 | 2021 |
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