Publications

Bhuiya, N., Schlegel, V., & Winkler, S. (2024). Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 2514-2528).
Binici, K., Kashyap, A. R., Schlegel, V., Liu, A. T., Dwivedi, V. P., Nguyen, T. T., ... & Winkler, S. (2025, April). MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 22, pp. 23496-23504).

Bird, A., Linnes, J. C., Basing, L. A., & Hall, E. (2026). Innovations in reagent manufacturing to support the global diagnostics supply chain. Frontiers in Public Health. Advance online publication. https://doi.org/10.3389/fpubh.2026.1899854

Bird, A., Mohan, V., Cao, Z., Bharath, A., & Oliver, N. (2025, December 9–11). Vulnerability assessment framework for the cybersecurity of CGMs [Conference abstract]. 2nd Asian Conference on Innovative Therapies for Diabetes Management, Singapore. To be published in Diabetes Technology & Therapeutics. Mary Ann Liebert, Inc.
Bowen Hu, Kuo Wang, and Chip Hong Chang. 2025. Red bleed: a pragmatic near-infrared presentation attack on facial biometric authentication systems. In Proceedings of the 34th USENIX Conference on Security Symposium (SEC '25). USENIX Association, USA, Article 404, 7877–7896.
C. Hwang, B. Zhou, Y. Ke, Mohan, V. et al., (2025). "Event-Based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems". In Proceedings of IEEE International Conference on Circuits and Systems (ISCAS), London, UK 2025. 
Cao, Z., Sun, Y., Xu, Z., Li, K., Fu, Y., Zhang, Y., Kong, Z., & Liu, Y. (2026). Reframing paths as logic: Semantic segmentation for vulnerability detection. In Proceedings of the ACM on Programming Languages, 10(OOPSLA1)
Deb, S., Lupu, E., Drakakis, E. M., Bharath, A. A., Leung, Z. K., Ma, G. R., & Chattopadhyay, A. (2025, July 25). Securing the Internet of Medical Things (IoMT): Real-World Attack Taxonomy and Practical Security Measures. arXiv
Dwivedi, V. P., Schlegel, V., Liu, A. T., Nguyen, T. T., Kashyap, A. R., Wei, J., ... & Tan, R. T. Representation Learning of Structured Data for Medical Foundation Models. In Proceedings of UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural Models.
G. Rajendran, D. Basak, S. Deb, and A. Chattopadhyay, “Securing binarized neural networks via puf-based key management in memristive crossbar arrays,” IEEE Embedded Systems Letters, 2024.
Guo, W., Liu, C., Kang, M., Zhang, Y., Wu, J., Xu, Z., Sachidananda, V., & Liu, Y. (2026). Cutting the satisfying Gordian Knot: Detecting malicious PyPI packages via a knowledge-mining framework. In Proceedings of the 35th USENIX Security Symposium (USENIX Security '26). USENIX Association.
Guo, W., Liu, C., Wang, L., Zhang, Y., Wu, J., Xu, Z., & Liu, Y. (2024). IntelliRadar: A Comprehensive Platform to Pinpoint Malicious Package Information from Cyber Intelligence.
Guo, W., Song, S., Guo, J., Xu, Z., Liu, C., Ou, H., Ge, M., & Liu, Y. (2026). Bridging expert reasoning and LLM detection: A knowledge-driven framework for malicious packages. In Proceedings of the ACM Web Conference 2026 (WWW '26). ACM.
Jiang, J., Zheng, Y., Chang., C.H. (2025), "PUF-Based Edge DNN Model IP Protection with Self-Obfuscation and Publicly Verifiable Ownership". Accepted, to appear IEEE International Conference on Circuits and Systems (ISCAS), London, UK 2025. 
Jiao, R., Zheng, Y., Ghajari, S., Sadeghi, S., Cortese, A., McEuen, P., Molnar, A., & Lee, S. (2025). A 43 µm × 269 µm, light-tolerant and power-adaptive forward-bulk optoelectrical microsystem for tetherless neural recording (pp. 1–5). IEEE.
Jiao, R., Zheng, Y., Nibras, A., Ghajari, S., Sadeghi, S., Cortese, A., McEuen, P., Molnar, A., & Lee, S. (2026). A 43 μm × 269 μm Light-Adaptive Optoelectronic Autonomous Microsystem for Neural Recording. IEEE Transactions on Biomedical Circuits and Systems, 1-14.
Lee, S., Ghajari, S., Sadeghi, S. et al. A subnanolitre tetherless optoelectronic microsystem for chronic neural recording in awake mice. Nat Electron 8, 1259–1271 (2025).
Li, H., Deng, B., Xu, C., Feng, Z., Schlegel, V., Huang, Y.-H., Sun, Y., Sun, J., Yang, K., Yu, Y., & Bian, J. (2025). MIRA: Medical time series foundation model for real-world health data. Forthcoming In Proceedings of the 2025 Conference on Neural Information Processing Systems (NeurIPS 2025).
Li, H., Huang, Y.-H., Xu, C., Schlegel, V., Jiang, R.-H., Batista-Navarro, R., Nenadic, G., & Bian, J. (2025). BRIDGE: Bootstrapping text to control time-series generation via multi-agent iterative optimization and diffusion modelling. In Proceedings of the 42nd International Conference on Machine Learning. PMLR.
Li, K., Zhang, J., Wang, C., Chen, S., Cao, Z., Zhang, M., & Liu, Y. (2026). GadgetHunter: Region-based neuro-symbolic detection of Java deserialization vulnerabilities. In Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE).
Li, M., Schlegel, V., Mu, T., Oyewusi, W., Kang, K., & Nenadic, G. (2026). Evaluation and LLM-guided learning of ICD coding rationales. In Proceedings of the 2026 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026).
Luan, X., Sanan, D., Hou, Z., Xu, Q., Liu, C., Cai, Y., ... & Sun, M. (2025). Why the Proof Fails in Different Versions of Theorem Provers: An Empirical Study of Compatibility Issues in Isabelle. Proceedings of the ACM on Software Engineering, 2(FSE), 1499-1521.
Ma, J., Zhang, J., Shen, G., Marshall, A., and Chang, C. H. 2025. Adversarial Attacks Against Deep Learning-Based Radio Frequency Fingerprint Identification. IEEE Transactions on Mobile Computing (Accepted Dec. 2025). DOI: 10.1109/TMC.2025.3646257
Ma, Y., Mohan, V., Chang, C. H., and Drakakis, E. M. 2026. QT-PUF: Quantum Tunneling Leakage Based PUF for Implantable IoMT Devices. In Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS). Shanghai, China, 1-5.
Madusanka, T., Valentino, M., Zahid, I., Pratt-Hartmann, I., & Batista-Navarro, R. (2025). Unravelling the logic: Investigating the generalisation of transformers in numerical satisfiability problems. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 25155–25168). Association for Computational Linguistics.
Mohan, V., Bird, A., Cao, Z., Wei, K., Schlegel, V., Oliver, N., & Bharath, A. (2025, December 9–11). A dynamic test rig for simulation cybersecurity attacks in hybrid closed-loop diabetes systems. Abstract presented at the 2nd Asian Conference on Innovative Therapies for Diabetes Management, Singapore. To be published in Diabetes Technology & Therapeutics. Mary Ann Liebert, Inc.
Mohan, V., Zhou, B. and Wang, Z. (2025) "Architectural Exploration of Hybrid Neural Decoders for Neuromorphic Implantable BMI". In Proceedings of IEEE International Conference on Circuits and Systems (ISCAS), London, UK 2025. 
Mohan. V., Tay, W.P. and Basu, A. (2025), "Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface". Neuromorphic Computing and Engineering. 5 014004, Jan 2025. 
Nagar, A., Liu, Y., Liu, A. T., Schlegel, V., Dwivedi, V. P., Kaliya-Perumal, A. K., ... & Tan, R. T. (2025). uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization. Forthcoming in Proceedings of the 63rd Conference of  the Association for Computational Linguistics.
Ren, S., Chang, C. H., Liu, J., Sun, Z., and Li, D. 2026. SMARC: A State-repairing Multi-agent Resilient Consensus Scheme. ,” IEEE Transactions on Circuits and Systems-I: Regular Papers (Accepted Feb. 2026)
Ren, S., Liu, J., Chang, C. H., Wang, H., and Li, D. 2026. SLAPE: Secure Lightweight Authentication for Privacy Enhanced Federated Learning in Industrial Internet of Things. IEEE Internet of Things Journal (Accepted Jan. 2026).
Shi, J., Chen, Y., Xiao, Y., Li, Y., Xu, Z., Qiu, S., Zhang, C., Qi, K., Li, Y., Chen, X., Zou, Y., Liu, Y., & Huo, W. (2025). A large scale study of AI-based binary function similarity detection techniques for security researchers and practitioners. In Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE). (Accepted).
Sun, Y., Schlegel, V., Nandakumar, S., Zahid, I., Wu, Y., Del-Pinto, W., Nenadic, G., Lam, S.K., Zhang, J. and Bharath, A.A., 2025. Evaluating Differentially Private Generation of Domain-Specific Text. arXiv preprint arXiv:2508.20452.
Wang, C., Yang, J., Li, Y., Wang, Z., Jie, H., Zheng, Z., Zhao, Z., Zhou, S., & Guo, Y. (2025). A spike-driven transformer network for edge computing-based partial discharge monitoring using ultrahigh frequency pulse signals. IEEE Transactions on Microwave Theory and Techniques. https://doi.org/10.1109/TMTT.2025.3582786
Wang, Z., Du, H., Tang, X., Qiao, S., Yin, S., Bharath, A. and Drakakis, M. (2025) "MPE: A power-efficient edge-device Mamba processor with multi-dimensional calculation-compression scheme"
Wang, Z., H. Du, J. Zhou, et al., (2025), "GPE A High-Performance Edge GNN Inference Processor with Multi-Parallelism Format-Variation Mechanism". To Appear, IEEE International Symposium on Circuits and Systems (ISCAS), London, UK. 
Wang, Z., H. Du, Mohan, V., et al., (2025) "STPE An Energy-Efficient Edge-Device Transformer Inference Processor with Multi-Mode Data-Compression Scheme". To appear: IEEE International Symposium on Circuits and Systems (ISCAS), London, UK. 
Wu, C., Sun, J., Chen, J., Alazab, M., Liu, Y., & Xiang, Y. (2025). TCG-IDS: Robust Network Intrusion Detection via Temporal Contrastive Graph Learning. IEEE Transactions on Information Forensics and Security.
Wu, X., Yang, P., Zhu, X., Li, Y., Ma, Y., Wang, Z., Zhou, J., Liu, Y., Liu, Y., & Han, G. (2026). SPICA: Energy-efficient SRAM-based multi-precision multi-mode compute-in-memory accelerator for AI inference. In Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS 2026), Shanghai, China, May 24–27. (Accepted)
Wu, Y., Schlegel, V., & Batista-Navarro, R. (2025). Natural context drift undermines the natural language understanding of large language models. In Findings of the Association for Computational Linguistics: EMNLP 2025.
Y. Zheng, C.-H. Chang, S.-H. Huang, P. Chen, and S. Picek, “An Overview of Trustworthy AI: Advances in IP Protection, Privacy-Preserving Federated Learning, Security Verification, and GAI Safety Alignment,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. PP, pp. 1–1, 2024.
Zahid, I., Sun, Y., & Batista-Navarro, R. (2025). BEDAA: Bayesian enhanced DeBERTa for uncertainty-aware authorship attribution. In Findings of the Association for Computational Linguistics: ACL 2025 (pp. 17952–17966). Association for Computational Linguistics.
Zhang, Y., Liu, C., Sun, Y., Xu, Z., Sun, W., Li, W., Jin, W., & Liu, Y. (2026). Semantic-enhanced automatic refinement of architecture recovery results using LLMs. In Proceedings of the 48th IEEE/ACM International Conference on Software Engineering (ICSE '26). ACM.
Zhang, Y., Xu, Z., Lang, Z., Liu, C., Sun, Y., Guo, W., Liu, C., Sun, W., & Liu, Y. (2025). BinStruct: Binary structure recovery combining static analysis and semantics. In Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE). (Accepted).
Zheng, Y., Boyapally, H., Liu, W., Yang, Y., and Chang, C. H. 2025. A Lightweight PUF-Based Communication Scheme for Low-Altitude Network with Dynamic Group Membership. IEEE Transactions on Mobile Computing (Accepted Nov. 2025). DOI: 10.1109/TMC.2025.3636876