BU LISP : Publications

2020

  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]

2019

  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]

2018

  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]

2017

  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]