Derui Zhu

According to our database, Derui Zhu authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LUNA: A Model-Based Universal Analysis Framework for Large Language Models.

Da Song, Xuan Xie, Jiayang Song, Derui Zhu, Yuheng Huang, Felix Juefei-Xu, Lei Ma

IEEE Trans. Software Eng., July, 2024

Vulnerabilities of Data Protection in Vertical Federated Learning Training and Countermeasures.

Derui Zhu, Jinfu Chen, Xuebing Zhou, Weiyi Shang, Ahmed E. Hassan, Jens Grossklags

IEEE Trans. Inf. Forensics Secur., 2024

Exploiting Internal Randomness for Privacy in Vertical Federated Learning.

Yulian Sun, Li Duan, Ricardo Mendes, Derui Zhu, Yue Xia, Yong Li, Asja Fischer

IACR Cryptol. ePrint Arch., 2024

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics.

Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness.

Zongxiong Chen, Jiahui Geng, Derui Zhu, Qing Li, Sonja Schimmler, Manfred Hauswirth

Proceedings of the International Joint Conference on Neural Networks, 2024

Reference-free Hallucination Detection for Large Vision-Language Models.

Qing Li, Jiahui Geng, Chenyang Lyu, Derui Zhu, Maxim Panov, Fakhri Karray

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness.

Amin Eslami Abyane, Derui Zhu, Roberto Souza, Lei Ma, Hadi Hemmati

Empir. Softw. Eng., March, 2023

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness.

Zongxiong Chen, Jiahui Geng, Derui Zhu, Herbert Woisetschlaeger, Qing Li, Sonja Schimmler, Ruben Mayer, Chunming Rong

CoRR, 2023

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy.

Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz

CoRR, 2023

Generative Model-Based Testing on Decision-Making Policies.

Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Neural Episodic Control with State Abstraction.

Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness.

Amin Eslami Abyane, Derui Zhu, Roberto Medeiros de Souza, Lei Ma, Hadi Hemmati

CoRR, 2022

2021

DeepMemory: Model-based Memorization Analysis of Deep Neural Language Models.

Derui Zhu, Jinfu Chen, Weiyi Shang, Xuebing Zhou, Jens Grossklags, Ahmed E. Hassan

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2018

Neural Hidden Markov Model for Machine Translation.

Weiyue Wang, Derui Zhu, Tamer Alkhouli, Zixuan Gan, Hermann Ney

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation.

Weiyue Wang, Tamer Alkhouli, Derui Zhu, Hermann Ney

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017