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Derui Zhu
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Cited by
Year
Neural hidden markov model for machine translation
W Wang, D Zhu, T Alkhouli, Z Gan, H Ney
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
392018
Reference-free hallucination detection for large vision-language models
Q Li, J Geng, C Lyu, D Zhu, M Panov, F Karray
EMNLP Finding, 2024
282024
Hybrid neural network alignment and lexicon model in direct hmm for statistical machine translation
W Wang, T Alkhouli, D Zhu, H Ney
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
272017
LUNA: A Model-Based Universal Analysis Framework for Large Language Models
D Song, X Xie, J Song, D Zhu, Y Huang, F Juefei-Xu, L Ma
IEEE Transactions on Software Engineering, 2023
262023
Neural episodic control with state abstraction
Z Li, D Zhu, Y Hu, X Xie, L Ma, Y Zheng, Y Song, Y Chen, J Zhao
ICLR Spotlights, 2023
252023
Generative model-based testing on decision-making policies
Z Li, X Wu, D Zhu, M Cheng, S Chen, F Zhang, X Xie, L Ma, J Zhao
2023 38th IEEE/ACM International Conference on Automated Software …, 2023
232023
Data forensics in diffusion models: A systematic analysis of membership privacy
D Zhu, D Chen, J Grossklags, M Fritz
arXiv preprint arXiv:2302.07801, 2023
222023
PoLLMgraph: Unraveling hallucinations in large language models via state transition dynamics
D Zhu, D Chen, Q Li, Z Chen, L Ma, J Grossklags, M Fritz
NAACL Finding, 2024
212024
Vulnerabilities of data protection in vertical federated learning training and countermeasures
D Zhu, J Chen, X Zhou, W Shang, AE Hassan, J Grossklags
IEEE Transactions on Information Forensics and Security 19, 3674-3689, 2024
162024
DeepMemory: Model-based memorization analysis of deep neural language models
D Zhu, J Chen, W Shang, X Zhou, J Grossklags, AE Hassan
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
152021
Internal activation revision: Safeguarding vision language models without parameter update
Q Li, J Geng, D Zhu, Z Chen, K Song, L Ma, F Karray
Proceedings of the AAAI Conference on Artificial Intelligence 39 (26), 27428 …, 2025
112025
A comprehensive study on dataset distillation: Performance, privacy, robustness and fairness
Z Chen, J Geng, D Zhu, H Woisetschlaeger, Q Li, S Schimmler, R Mayer, ...
arXiv preprint arXiv:2305.03355, 2023
102023
Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness
AE Abyane, D Zhu, R Souza, L Ma, H Hemmati
Empirical Software Engineering 28 (2), 44, 2023
102023
Privauditor: Benchmarking data protection vulnerabilities in llm adaptation techniques
D Zhu, D Chen, X Wu, J Geng, Z Li, J Grossklags, L Ma
Advances in Neural Information Processing Systems 37, 9668-9689, 2024
82024
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
Q Li, J Geng, Z Chen, D Zhu, Y Wang, C Ma, C Lyu, F Karray
ACL, 2025
42025
VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration
J Geng, Q Li, Z Chen, Y Wang, D Zhu, Z Xie, C Lyu, X Chen, P Nakov, ...
arXiv preprint arXiv:2505.20362, 2025
32025
Safe Reinforcement Learning via Episodic Control
Z Li, D Zhu, J Grossklags
IEEE Access, 2025
22025
Exploiting internal randomness for privacy in vertical federated learning
Y Sun, L Duan, R Mendes, D Zhu, Y Xia, Y Li, A Fischer
European Symposium on Research in Computer Security, 390-409, 2024
22024
DynaDistill: Leveraging real-time feedback for effective dataset distillation
Z Chen, D Zhu, J Geng, S Schimmler, M Hauswirth
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
D Zhu, D Chen, J Grossklags, W Pretschner, W Shang
The Thirty-ninth Annual Conference on Neural Information Processing Systems, 0
1
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Articles 1–20