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Derui Zhu
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2020 – today
- 2024
- [j3]Derui Zhu
, Jinfu Chen
Vulnerabilities of Data Protection in Vertical Federated Learning Training and Countermeasures. IEEE Trans. Inf. Forensics Secur. 19: 3674-3689 (2024) - [j2]Da Song
LUNA: A Model-Based Universal Analysis Framework for Large Language Models. IEEE Trans. Software Eng. 50(7): 1921-1948 (2024) - [c9]Qing Li, Jiahui Geng, Chenyang Lyu, Derui Zhu, Maxim Panov, Fakhri Karray:
Reference-free Hallucination Detection for Large Vision-Language Models. EMNLP (Findings) 2024: 4542-4551 - [c8]Yulian Sun
Exploiting Internal Randomness for Privacy in Vertical Federated Learning. ESORICS (2) 2024: 390-409 - [c7]Zongxiong Chen, Jiahui Geng, Derui Zhu, Qing Li, Sonja Schimmler, Manfred Hauswirth:
Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness. IJCNN 2024: 1-10 - [c6]Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz:
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. NAACL-HLT (Findings) 2024: 4737-4751 - [i8]Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz:
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. CoRR abs/2404.04722 (2024) - [i7]Qing Li, Chenyang Lyu, Jiahui Geng, Derui Zhu, Maxim Panov, Fakhri Karray:
Reference-free Hallucination Detection for Large Vision-Language Models. CoRR abs/2408.05767 (2024) - [i6]Yulian Sun, Li Duan, Ricardo Mendes, Derui Zhu, Yue Xia, Yong Li, Asja Fischer:
Exploiting Internal Randomness for Privacy in Vertical Federated Learning. IACR Cryptol. ePrint Arch. 2024: 671 (2024) - 2023
- [j1]Amin Eslami Abyane
Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness. Empir. Softw. Eng. 28(2): 44 (2023) - [c5]Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. ICLR 2023 - [c4]Zhuo Li, Xiongfei Wu
Generative Model-Based Testing on Decision-Making Policies. ASE 2023: 243-254 - [i5]Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. CoRR abs/2301.11490 (2023) - [i4]Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz:
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy. CoRR abs/2302.07801 (2023) - [i3]Zongxiong Chen, Jiahui Geng, Derui Zhu, Herbert Woisetschlaeger, Qing Li, Sonja Schimmler, Ruben Mayer, Chunming Rong:
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness. CoRR abs/2305.03355 (2023) - [i2]Da Song, Xuan Xie, Jiayang Song, Derui Zhu, Yuheng Huang, Felix Juefei-Xu, Lei Ma:
LUNA: A Model-Based Universal Analysis Framework for Large Language Models. CoRR abs/2310.14211 (2023) - 2022
- [i1]Amin Eslami Abyane, Derui Zhu, Roberto Medeiros de Souza, Lei Ma, Hadi Hemmati:
Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness. CoRR abs/2201.01409 (2022) - 2021
- [c3]Derui Zhu, Jinfu Chen, Weiyi Shang, Xuebing Zhou, Jens Grossklags, Ahmed E. Hassan:
DeepMemory: Model-based Memorization Analysis of Deep Neural Language Models. ASE 2021: 1003-1015
2010 – 2019
- 2018
- [c2]Weiyue Wang
Neural Hidden Markov Model for Machine Translation. ACL (2) 2018: 377-382 - 2017
- [c1]Weiyue Wang
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation. ACL (2) 2017: 125-131
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