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Huan Zhang

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  • 2023

    Provably Bounding Neural Network Preimages

    Kotha, S., Brix, C., Kolter, Z., Dvijotham, K. & Zhang, H., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Queer In AI: A Case Study in Community-Led Participatory AI

    Queer in AI, Jun 12 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. Association for Computing Machinery, p. 1882-1895 14 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
  • 2022

    Are AlphaZero-like Agents Robust to Adversarial Perturbations?

    Lan, L. C., Zhang, H., Wu, T. R., Tsai, M. Y., Wu, I. C. & Hsieh, C. J., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks

    Choi, J. H., Zhang, H., Kim, J. H., Hsieh, C. J. & Lee, J. S., 2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. Institute of Electrical and Electronics Engineers Inc., p. 1287-1293 7 p. (Proceedings - International Conference on Pattern Recognition; vol. 2022-August).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation

    Shi, Z., Wang, Y., Zhang, H., Kolter, Z. & Hsieh, C. J., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • General Cutting Planes for Bound-Propagation-Based Neural Network Verification

    Zhang, H., Wang, S., Xu, K., Li, L., Li, B., Jana, S., Hsieh, C. J. & Kolter, J. Z., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers

    Li, J., Zhang, H. & Xie, C., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer, p. 573-587 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13685 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2021

    Adversarially Robust Deep Image Super-Resolution Using Entropy Regularization

    Choi, J. H., Zhang, H., Kim, J. H., Hsieh, C. J. & Lee, J. S., 2021, Computer Vision – ACCV 2020 - 15th Asian Conference on Computer Vision, 2020, Revised Selected Papers. Ishikawa, H., Liu, C.-L., Pajdla, T. & Shi, J. (eds.). Springer, p. 301-317 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12625 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification

    Wang, S., Zhang, H., Xu, K., Lin, X., Jana, S., Hsieh, C. J. & Kolter, Z., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 29909-29921 13 p. (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation

    Zhang, C., Zhao, J., Zhang, H., Chang, K. W. & Hsieh, C. J., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3899-3916 18 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Fast Certified Robust Training with ShortWarmup

    Shi, Z., Wang, Y., Zhang, H., Yi, J. & Hsieh, C. J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 18335-18349 15 p. (Advances in Neural Information Processing Systems; vol. 22).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Robustness between the worst and average case

    Rice, L., Bair, A., Zhang, H. & Kolter, J. Z., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 27840-27851 12 p. (Advances in Neural Information Processing Systems; vol. 33).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds

    Huang, Y., Zhang, H., Shi, Y., Kolter, J. Z. & Anandkumar, A., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 22745-22757 13 p. (Advances in Neural Information Processing Systems; vol. 27).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2020

    Reducing sentiment bias in language models via counterfactual evaluation

    Huang, P. S., Zhang, H., Jiang, R., Stanforth, R., Welbl, J., Rae, J. W., Maini, V., Yogatama, D. & Kohli, P., 2020, Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020. Association for Computational Linguistics (ACL), p. 65-83 19 p. (Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples

    Cheng, M., Yi, J., Chen, P. Y., Zhang, H. & Hsieh, C. J., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. American Association for Artificial Intelligence (AAAI) Press, p. 3601-3608 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
  • 2019

    Adversarial robustness vs. model compression, or both?

    Ye, S., Xu, K., Liu, S., Cheng, H., Lambrechts, J. H., Zhang, H., Zhou, A., Ma, K., Wang, Y. & Lin, X., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 111-120 10 p. 9009036. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • AutoZOOM: Autoencoder-based zeroth order optimization method for attacking black-box neural networks

    Tu, C. C., Ting, P., Chen, P. Y., Liu, S., Zhang, H., Yi, J., Hsieh, C. J. & Cheng, S. M., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. American Association for Artificial Intelligence (AAAI) Press, p. 742-749 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Defending against adversarial attacks using random forest

    DIng, Y., Wang, L., Zhang, H., Yi, J., Fan, D. & Gong, B., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society, p. 105-114 10 p. 9025530. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Evaluating robustness of deep image super-resolution against adversarial attacks

    Choi, J. H., Zhang, H., Kim, J. H., Hsieh, C. J. & Lee, J. S., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 303-311 9 p. 9010873. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • GenatTack: Practical black-box attacks with gradient-free optimization

    Alzantot, M., Zhang, H., Sharma, Y., Hsieh, C. J., Chakraborty, S. & Srivastava, M. B., Jul 13 2019, GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 1111-1119 9 p. (GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • RecurJac: An efficient recursive algorithm for bounding Jacobian matrix of neural networks and its applications

    Zhang, H., Zhang, P. & Hsieh, C. J., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. American Association for Artificial Intelligence (AAAI) Press, p. 5757-5764 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Robust decision trees against adversarial examples

    Chen, H., Zhang, H., Boning, D. & Hsieh, C. J., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 1911-1926 16 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2018

    Attacking visual language grounding with adversarial examples: A case study on neural image captioning

    Chen, H., Zhang, H., Chen, P. Y., Yi, J. & Hsieh, C. J., 2018, ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics (ACL), p. 2587-2597 11 p. (ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • EAD: Elastic-net attacks to deep neural networks via adversarial examples

    Chen, P. Y., Sharma, Y., Zhang, H., Yi, J. & Hsieh, C. J., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. American Association for Artificial Intelligence (AAAI) Press, p. 10-17 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Is robustness the cost of accuracy? – A comprehensive study on the robustness of 18 deep image classification models

    Su, D., Zhang, H., Chen, H., Yi, J., Chen, P. Y. & Gao, Y., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Ferrari, V., Sminchisescu, C. & Weiss, Y. (eds.). Springer, p. 644-661 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11216 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • On extensions of clever: A neural network robustness evaluation algorithm

    Weng, T. W., Zhang, H., Chen, P. Y., Lozano, A., Hsieh, C. J. & Daniel, L., Jul 2 2018, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1159-1163 5 p. 8646356. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Towards Fast computation of certified robustness for ReLU networks

    Weng, T. W., Zhang, H., Chen, H., Song, Z., Hsieh, C. J., Boning, D., Dhillon, I. S. & Daniel, L., 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 8379-8404 26 p. (35th International Conference on Machine Learning, ICML 2018; vol. 12).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Towards robust neural networks via random self-ensemble

    Liu, X., Cheng, M., Zhang, H. & Hsieh, C. J., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Hebert, M. & Weiss, Y. (eds.). Springer, p. 381-397 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11211 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2017

    Gradient boosted decision trees for high dimensional sparse output

    Si, S., Zhang, H., Keerthi, S. S., Mahajan, D., Dhillon, I. S. & Hsieh, C. J., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 4899-4908 10 p. (34th International Conference on Machine Learning, ICML 2017; vol. 7).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • ZOO: Zeroth order optimization based black-box atacks to deep neural networks without training substitute models

    Chen, P. Y., Zhang, H., Sharma, Y., Yi, J. & Hsieh, C. J., Nov 3 2017, AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017. Association for Computing Machinery, p. 15-26 12 p. (AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2016

    Fixing the convergence problems in parallel asynchronous dual coordinate descent

    Zhang, H. & Hsieh, C. J., Jul 2 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z.-H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 619-628 10 p. 7837886. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 0).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • HogWild++: A new mechanism for decentralized asynchronous stochastic gradient descent

    Zhang, H., Hsieh, C. J. & Akella, V., Jul 2 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z.-H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 629-638 10 p. 7837887. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 0).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2014

    Field demonstration of 100-Gb/s real-time coherent optical OFDM detection

    Kaneda, N., Pfau, T., Zhang, H., Lee, J., Chen, Y. K., Youn, C. J., Kwon, Y. H., Num, E. S. & Chandrasekhar, S., Nov 20 2014, European Conference on Optical Communication, ECOC. Institute of Electrical and Electronics Engineers Inc., 6963892. (European Conference on Optical Communication, ECOC).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution