Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation. - Weiyue Wang 001; Tamer Alkhouli; Derui Zhu; Hermann Ney (ACL (2), 2017)

Neural Hidden Markov Model for Machine Translation. - Weiyue Wang 001; Derui Zhu; Tamer Alkhouli; Zixuan Gan; Hermann Ney (ACL (2), 2018)

DeepMemory: Model-based Memorization Analysis of Deep Neural Language Models. - Derui Zhu; Jinfu Chen 002; Weiyi Shang; Xuebing Zhou; Jens Grossklags; Ahmed E. Hassan (ASE, 2021)

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 003; Hadi Hemmati (CoRR, 2022)

Neural Episodic Control with State Abstraction. - Zhuo Li; Derui Zhu; Yujing Hu; Xiaofei Xie; Lei Ma 003; Yan Zheng 002; Yan Song; Yingfeng Chen; Jianjun Zhao 001 (ICLR, 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 003; Jianjun Zhao 001 (ASE, 2023)

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy. - Derui Zhu; Dingfan Chen; Jens Grossklags; Mario Fritz (CoRR, 2023)

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness. - Zongxiong Chen; Jiahui Geng; Derui Zhu; Herbert Woisetschlaeger; Qing Li 038; Sonja Schimmler; Ruben Mayer; Chunming Rong (CoRR, 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 001; Lei Ma 003; Hadi Hemmati (Empir. Softw. Eng., 2023)

Reference-free Hallucination Detection for Large Vision-Language Models. - Qing Li 038; Jiahui Geng; Chenyang Lyu; Derui Zhu; Maxim Panov; Fakhri Karray (EMNLP (Findings), 2024)

Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness. - Zongxiong Chen; Jiahui Geng; Derui Zhu; Qing Li 038; Sonja Schimmler; Manfred Hauswirth (IJCNN, 2024)

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. - Derui Zhu; Dingfan Chen; Qing Li 038; Zongxiong Chen; Lei Ma 003; Jens Grossklags; Mario Fritz (NAACL-HLT (Findings), 2024)

PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques. - Derui Zhu; Dingfan Chen; Xiongfei Wu; Jiahui Geng; Zhuo Li; Jens Grossklags; Lei Ma 003 (NeurIPS, 2024)

Exploiting Internal Randomness for Privacy in Vertical Federated Learning. - Yulian Sun; Li Duan; Ricardo Mendes; Derui Zhu; Yue Xia; Yong Li 021; Asja Fischer (IACR Cryptol. ePrint Arch., 2024)

Vulnerabilities of Data Protection in Vertical Federated Learning Training and Countermeasures. - Derui Zhu; Jinfu Chen 002; Xuebing Zhou; Weiyi Shang; Ahmed E. Hassan; Jens Grossklags (IEEE Trans. Inf. Forensics Secur., 2024)

LUNA: A Model-Based Universal Analysis Framework for Large Language Models. - Da Song; Xuan Xie; Jiayang Song; Derui Zhu; Yuheng Huang 004; Felix Juefei-Xu; Lei Ma 003 (IEEE Trans. Software Eng., 2024)

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update. - Qing Li 038; Jiahui Geng; Derui Zhu; Zongxiong Chen; Kun Song; Lei Ma 003; Fakhri Karray (AAAI, 2025)

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs. - Qing Li 038; Jiahui Geng; Zongxiong Chen; Derui Zhu; Yuxia Wang; Congbo Ma; Chenyang Lyu; Fakhri Karray (ACL (1), 2025)

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration. - Jiahui Geng; Qing Li 038; Zongxiong Chen; Yuxia Wang; Derui Zhu; Zhuohan Xie; Chenyang Lyu; Xiuying Chen; Preslav Nakov; Fakhri Karray (ACL (Findings), 2025)

Safe Reinforcement Learning via Episodic Control. - Zhuo Li; Derui Zhu; Jens Grossklags (IEEE Access, 2025)

CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval. - Jiahui Geng; Fengyu Cai; Shaobo Cui 006; Qing Li 038; Liangwei Chen; Chenyang Lyu; Haonan Li; Derui Zhu; Walter Pretschner; Heinz Koeppl; Fakhri Karray (CoRR, 2025)