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EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers.

Y. Chen, Y. Jiang, F. Ma, J. Liang, M. Wang, C. Zhou, X. Jiao, and Z. Su. USENIX Security Symposium, page 1967-1983. USENIX Association, (2019)

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Michaela Suttner University of Stuttgart

Abdou Suso University of Stuttgart

Andreas Sülzle University of Stuttgart

Marlon Suditsch University of Stuttgart

Inti Runa Supa Stölben University of Stuttgart

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Online human tracking via superpixel-based collaborative appearance model.H. Zhang, J. Zhan, Z. Su, Q. Chen, and X. Luo. ICME Workshops, page 1-6. IEEE Computer Society, (2014)Building a cognitive platform for the managed IT services lifecycle.K. Kloeckner, C. Adam, N. Anerousis, N. Ayachitula, M. Bulut, G. Dasgupta, Y. Deng, Y. Diao, N. Fuller, S. Gopisetty and 28 other author(s). IBM Journal of Research and Development, 62 (1): 8 (2018)Mesh-based anisotropic cloth deformation for virtual fitting.L. Liu, R. Wang, Z. Su, X. Luo, and C. Gao. Multimedia Tools Appl., 71 (2): 411-433 (2014)EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers.Y. Chen, Y. Jiang, F. Ma, J. Liang, M. Wang, C. Zhou, X. Jiao, and Z. Su. USENIX Security Symposium, page 1967-1983. USENIX Association, (2019)Training a Convolutional Neural Network for Disparity Optimization in Stereo Matching.G. Song, H. Zheng, Q. Wang, and Z. Su. ICCBB, page 48-52. ACM, (2017)Learning mean progressive scattering using binomial truncated loss for image dehazing.B. Qiu, X. Liang, Z. Su, R. Wang, and F. Zhou. IET Image Processing, 13 (14): 2929-2939 (2019)Deep ladder reconstruction-classification network for unsupervised domain adaptation.W. Deng, Z. Su, Q. Qiu, L. Zhao, G. Kuang, M. Pietikäinen, H. Xiao, and L. Liu. Pattern Recognit. Lett., (2021)Patchwise scaling method for content-aware image resizing.Y. Liang, Z. Su, and X. Luo. Signal Processing, 92 (5): 1243-1257 (2012)High-order wavelet reconstruction for multi-scale edge aware tone mapping.A. Artusi, Z. Su, Z. Zhang, D. Drikakis, and X. Luo. Computers & Graphics, (2014)Corrigendum to "Super-resolution by polar Newton-Thiele's rational kernel in centralized sparsity paradigm" Signal Processing: Image Communication, 31(2015), pp 86-99.L. He, J. Tan, Z. Su, X. Luo, and C. Xie. Sig. Proc.: Image Comm., (2015)