Следене
Hongcheng Gao
Заглавие
Позовавания
Позовавания
Година
Generative pretraining in multimodality
Q Sun*, Q Yu*, Y Cui*, F Zhang*, X Zhang*, Y Wang, H Gao, J Liu, ...
ICLR, 2024
722024
Exploring the universal vulnerability of prompt-based learning paradigm
L Xu, Y Chen, G Cui, H Gao, Z Liu
Findings of NAACL, 2022
542022
Why should adversarial perturbations be imperceptible? rethink the research paradigm in adversarial nlp
Y Chen*, H Gao*, G Cui, F Qi, L Huang, Z Liu, M Sun
EMNLP, 2022
202022
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
L Yuan, Y Chen, G Cui, H Gao, F Zou, X Cheng, H Ji, Z Liu, M Sun
NeurIPS (Dataset and Benchmark Track), 2023
192023
Textual backdoor attacks can be more harmful via two simple tricks
Y Chen*, F Qi*, H Gao, Z Liu, M Sun
EMNLP, 2022
102022
Evaluating the robustness of text-to-image diffusion models against real-world attacks
H Gao, H Zhang, Y Dong, Z Deng
arXiv preprint arXiv:2306.13103, 2023
82023
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
Z Deng*, H Gao*, Y Miao, H Zhang
arXiv preprint arXiv:2305.16617, 2023
82023
From adversarial arms race to model-centric evaluation: Motivating a unified automatic robustness evaluation framework
Y Chen*, H Gao*, G Cui*, L Yuan, D Kong, H Wu, N Shi, B Yuan, L Huang, ...
Findings of ACL, 2023
42023
Universal Prompt Optimizer for Safe Text-to-Image Generation
Z Wu*, H Gao*, Y Wang, X Zhang, S Wang
NAACL, 2024
2024
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Статии 1–9