| 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 | 35 | 2018 |
| 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 | 27 | 2017 |
| 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 | 15 | 2023 |
| 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 | 12 | 2023 |
| Neural episodic control with state abstraction Z Li, D Zhu, Y Hu, X Xie, L Ma, Y Zheng, Y Song, Y Chen, J Zhao arXiv preprint arXiv:2301.11490, 2023 | 12 | 2023 |
| 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 | 10 | 2021 |
| 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 | 7 | 2023 |
| 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 https://arxiv.org/pdf/2310.14211.pdf, 2023 | 7 | 2023 |
| 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 arXiv preprint arXiv:2404.04722, 2024 | 5 | 2024 |
| 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, 2024 | 5 | 2024 |
| 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 | 4 | 2023 |
| Reference-free Hallucination Detection for Large Vision-Language Models Q Li, C Lyu, J Geng, D Zhu, M Panov, F Karray arXiv preprint arXiv:2408.05767, 2024 | 3 | 2024 |
| 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 | 1 | 2024 |
| Safe Reinforcement Learning via Episodic Control Z Li, D Zhu, J Grossklags IEEE Access, 2025 | | 2025 |
| Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness Z Chen, J Geng, D Zhu, Q Li, S Schimmler, M Hauswirth 2024 International Joint Conference on Neural Networks (IJCNN), 1-10, 2024 | | 2024 |
| PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques D Zhu, D Chen, X Wu, J Geng, Z Li, J Grossklags, L Ma The Thirty-eight Conference on Neural Information Processing Systems …, 0 | | |
Jens GrossklagsChair for Cyber Trust, Technical University of MunichAdresse e-mail validée de in.tum.de