BU LISP : Publications


  1. X. Wang, S. Wang, P.Y. Chen, X. Lin, P. Chin. AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2020. [arXiv]
  2. L. Greige, P. Chin. Reinforcement Learning in FlipIt. arXiv preprint arXiv:2002.12909, 2020. [arXiv]
  3. L. Jensen, J. Harer, S. Chin. NodeDrop: A Method for Finding Sufficient Network Architecture Size. International Joint Conference on Neural Networks (IJCNN). 2020. [arXiv]
  4. S. Huang, X. Zhou, S. Chin. A Study of Pyramid Structure for Code Correction. arXiv preprint arXiv:2001.11367, 2020. [arXiv]


  1. X. Wang, S. Wang, P.Y. Chen, Y. Wang, B. Kulis, X. Lin, P. Chin. Protecting neural networks with hierarchical random switching: towards better robustness-accuracy trade-off for stochastic defenses. International Joint Conference on Artificial Intelligence (IJCAI). AAAI Press, 2019. [pdf]
  2. L. Jensen, G. Brown, X. Wang, J. Harer, and S. Chin. Deep Learning for Minimal-context Block Trackingthrough Side-channel Analysis. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp 3207-211. 2019. [pdf]


  1. S. Wang, X. Wang, S. Ye, P. Zhao, X. Lin. Defending dnn adversarial attacks with pruning and logits augmentation. IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2018. [pdf]
  2. S. Wang, X. Wang, P. Zhao, W. Wen, D. Kaeli, P. Chin, X. Lin. Defensive dropout for hardening deep neural networks under adversarial attacks. International Conference on Computer-Aided Design (ICCAD). 2018. [pdf]
  3. X. Wang, J. Zhang, T. Xiong, T. D. Tran, S. P. Chin, R. Etienne-Cummings. Using Deep Learning to Extract Scenery Information in Real Time Spatiotemporal Compressed Sensing. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-4. 2018. [pdf]
  4. X. Wang, Q. Zhou, J. Harer, G. Brown, S. Qiu, Z. Dou, J. Wang, A. Hinton, C. A. Gonzalez, S. P. Chin. Deep learning-based classification and anomaly detection of side-channel signals. Cyber Sensing. 2018. [pdf]
  5. W. Ma, K. Cao, X. Li, P. Chin. Tree structured multimedia signal modeling. Artificial Intelligence Research Society Conference (FLAIRS). 2018. [pdf]
  6. W. Ma, K. Cao, Z. Ni, P. Chin, X. Li. Sound Signal Processing with Seq2Tree Network. International Conference on Language Resources and Evaluation (LREC). 2018. [pdf]
  7. R. Russell, L. Kim, L. Hamilton, T. Lazovich, J. Harer, O. Ozdemir, P. Elingwood, M. McConley. Automated Vulnerability Detection in Source Code Using Deep Representation Learning. IEEE International Conference on Machine Learning and Applications (ICMLA). December 2018. [pdf , arXiv]
  8. J. A. Harer, O. Ozdemir, T. Lazovich, C. P. Reale, R. L. Russell, L. Y. Kim, S. P. Chin. Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. Conference on Neural Information Processing Systems (NeurIPS). 2018. [pdf]


  1. X. Zhou, C. Wang, Y. Xu, X. Wang, S. P. Chin. Domain Specific Inpainting With Concurrently Pretrained Generative Adversarial Networks. IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1185-1189. 2017. [pdf]
  2. D. Yang, T. Xiong, D. Xu, S. K. Zhou, Z. Xu, M. Chen, J. H. Park, S. Grbic, T. D. Tran, S. P. Chin, D. Metaxas, D. Comaniciu. Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 498-506. 2017. [pdf]
  3. D. Yang, T. Xiong, D. Xu, Q. Huang, D. Liu, S. K. Zhou, Z. Xu, J. Park, M. Chen, T. D. Tran, S. P. Chin, D. Metaxas, D. Comaniciu. Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network With Message Passing and Sparsity Regularization. International Conference on Information Processing in Medical Imaging (IPMI). 2017. [pdf]
  4. S. P. Chin, J. Cohen, A. Albin, M. Hayvanovych, E. Reilly, G. Brown, J. Harer. A Mathematical Analysis of Network Controllability Through Driver Nodes. IEEE Transactions on Computational Social Systems, vol. 4, no. 2, pp. 40-51, 2017. [pdf]