| Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models PY Chen, H Zhang, Y Sharma, J Yi, CJ Hsieh Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017 | 242 | 2017 |
| Ead: elastic-net attacks to deep neural networks via adversarial examples PY Chen, Y Sharma, H Zhang, J Yi, CJ Hsieh Thirty-second AAAI conference on artificial intelligence, 2018 | 151 | 2018 |
| Semi-crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning J Yi, R Jin, A Jain, S Jain, T Yang Advances in Neural Information Processing Systems (NIPS), 1781-1789, 2012 | 79 | 2012 |
| Evaluating the robustness of neural networks: An extreme value theory approach TW Weng, H Zhang, PY Chen, J Yi, D Su, Y Gao, CJ Hsieh, L Daniel arXiv preprint arXiv:1801.10578, 2018 | 62 | 2018 |
| Is Robustness the Cost of Accuracy?--A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D Su, H Zhang, H Chen, J Yi, PY Chen, Y Gao Proceedings of the European Conference on Computer Vision (ECCV), 631-648, 2018 | 59 | 2018 |
| Robust Ensemble Clustering by Matrix Completion J Yi, T Yang, R Jin, AK Jain, M Mahdavi IEEE International Conference on Data Mining (ICDM), 2012 | 59 | 2012 |
| Inferring Users’ Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach J Yi, R Jin, S Jain, A Jain AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2013 | 57 | 2013 |
| Efficient Algorithms for Robust One-bit Compressive Sensing L Zhang, J Yi, R Jin International Conference on Machine Learning (ICML), 820-828, 2014 | 51 | 2014 |
| Practical machine learning S Gollapudi Packt Publishing Ltd, 2016 | 49 | 2016 |
| Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach J Yi, R Jin, AK Jain, S Jain AAAI workshop on Human Computation (HCOMP), 2012 | 49 | 2012 |
| Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples M Cheng, J Yi, H Zhang, PY Chen, CJ Hsieh arXiv preprint arXiv:1803.01128, 2018 | 41 | 2018 |
| Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD) Q Qian, R Jin, J Yi, L Zhang, S Zhu Machine Learning 99 (3), 353-372, 2015 | 41 | 2015 |
| Similar document detection and electronic discovery M Sperling, R Jin, I Rayvych, J Li, J Yi US Patent 9,208,219, 2015 | 37 | 2015 |
| Autozoom: Autoencoder-based zeroth order optimization method for attacking black-box neural networks CC Tu, P Ting, PY Chen, S Liu, H Zhang, J Yi, CJ Hsieh, SM Cheng Proceedings of the AAAI Conference on Artificial Intelligence 33, 742-749, 2019 | 36 | 2019 |
| Tracking slowly moving clairvoyant: Optimal dynamic regret of online learning with true and noisy gradient J Yi | 36 | 2016 |
| Adsorption and micellization of gemini surfactants with pyrrolidinium head groups: effect of the spacer length B Cai, J Dong, L Cheng, Z Jiang, Y Yang, X Li Soft Matter 9 (31), 7637-7646, 2013 | 34 | 2013 |
| Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion J Yi, L Zhang, R Jin, Q Qian, A Jain International Conference on Machine Learning (ICML), 1400-1408, 2013 | 34 | 2013 |
| Query-efficient hard-label black-box attack: An optimization-based approach M Cheng, T Le, PY Chen, J Yi, H Zhang, CJ Hsieh arXiv preprint arXiv:1807.04457, 2018 | 33 | 2018 |
| Attacking visual language grounding with adversarial examples: A case study on neural image captioning H Chen, H Zhang, PY Chen, J Yi, CJ Hsieh arXiv preprint arXiv:1712.02051, 2017 | 30 | 2017 |
| Show-and-fool: Crafting adversarial examples for neural image captioning H Chen, H Zhang, PY Chen, J Yi, CJ Hsieh arXiv preprint arXiv:1712.02051, 2017 | 30 | 2017 |
Rong JinAlibaba GroupVerified email at cse.msu.edu
