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  • CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing

    Jin, H., Chen, R., Chen, J., Zheng, H., Zhang, Y. & Wang, H., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer, p. 90-106 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15105 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models

    Chen, R., Jin, H., Liu, Y., Chen, J., Wang, H. & Sun, L., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer, p. 126-142 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15121 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Simple Unsupervised Knowledge Distillation With Space Similarity

    Singh, A. & Wang, H., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer, p. 147-164 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15060 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • ZooPFL: Exploring Black-Box Foundation Models for Personalized Federated Learning

    Lu, W., Yu, H., Wang, J., Teney, D., Wang, H., Zhu, Y., Chen, Y., Yang, Q., Xie, X. & Ji, X., 2025, Federated Learning in the Age of Foundation Models - FL 2024 International Workshops, Revised Selected Papers. Yu, H., Li, X., Xu, Z., Goebel, R. & King, I. (eds.). Springer, p. 19-35 17 p. (Lecture Notes in Computer Science; vol. 15501 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification

    Tam, T. Y. C., Liang, L., Chen, K., Wang, H. & Wu, W., 2024, Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024. Cannataro, M., Zheng, H., Gao, L., Cheng, J., de Miranda, J. L., Zumpano, E., Hu, X., Cho, Y.-R. & Park, T. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5104-5111 8 p. (Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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