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1,439 results on '"Yun Q"'

55. Textural Features for Steganalysis

Author

Shi, Yun Q., Sutthiwan, Patchara, Chen, Licong, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kirchner, Matthias, editor, and Ghosal, Dipak, editor

Published
2013
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60. Anti-Forensics of Double JPEG Compression Detection

Author

Sutthiwan, Patchara, Shi, Yun Q., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Shi, Yun Qing, editor, Kim, Hyoung-Joong, editor, and Perez-Gonzalez, Fernando, editor

Published
2012
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61. A Drift Compensation Algorithm for H.264/AVC Video Robust Watermarking Scheme

Author

Jiang, Xinghao, Sun, Tanfeng, Zhou, Yue, Shi, Yun Q., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Shi, Yun Qing, editor, Kim, Hyoung-Joong, editor, and Perez-Gonzalez, Fernando, editor

Published
2012
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64. Passive Detection of Paint-Doctored JPEG Images

Author

Zhao, Yu Qian, Shih, Frank Y., Shi, Yun Q., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kim, Hyoung-Joong, editor, Shi, Yun Qing, editor, and Barni, Mauro, editor

Published
2011
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72. A Novel Multi-size Block Benford’s Law Scheme for Printer Identification

Author

Jiang, Weina, Ho, Anthony T. S., Treharne, Helen, Shi, Yun Q., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Qiu, Guoping, editor, Lam, Kin Man, editor, Kiya, Hitoshi, editor, Xue, Xiang-Yang, editor, Kuo, C.-C. Jay, editor, and Lew, Michael S., editor

Published
2010
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77. Run-Length and Edge Statistics Based Approach for Image Splicing Detection

Author

Dong, Jing, Wang, Wei, Tan, Tieniu, Shi, Yun Q., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kim, Hyoung-Joong, editor, Katzenbeisser, Stefan, editor, and Ho, Anthony T. S., editor

Published
2009
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78. First Digit Law and Its Application to Digital Forensics : (Invited Paper)

Author

Shi, Yun Q., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kim, Hyoung-Joong, editor, Katzenbeisser, Stefan, editor, and Ho, Anthony T. S., editor

Published
2009
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79. Detection of Double MPEG Compression Based on First Digit Statistics

Author

Chen, Wen, Shi, Yun Q., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kim, Hyoung-Joong, editor, Katzenbeisser, Stefan, editor, and Ho, Anthony T. S., editor

Published
2009
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91. Robust multi-read reconstruction from noisy clusters using deep neural network for DNA storage

Author

Yun Qin, Fei Zhu, Bo Xi, and Lifu Song

Subjects
DNA storage, Sequence reconstruction, Robust method, Attention mechanism, Deep neural network, Biotechnology, TP248.13-248.65
Abstract

DNA holds immense potential as an emerging data storage medium. However, the recovery of information in DNA storage systems faces challenges posed by various errors, including IDS errors, strand breaks, and rearrangements, inevitably introduced during synthesis, amplification, sequencing, and storage processes. Sequence reconstruction, crucial for decoding, involves inferring the DNA reference from a cluster of erroneous copies. While most methods assume equal contributions from all reads within a cluster as noisy copies of the same reference, they often overlook the existence of contaminated sequences caused by DNA breaks, rearrangements, or mis-clustering reads. To address this issue, we propose RobuSeqNet, a robust multi-read reconstruction neural network specifically designed to robustly reconstruct multiple reads, accommodating noisy clusters with strand breakage, rearrangements, and mis-clustered strands. Leveraging the attention mechanism and an elaborate network design, RobuSeqNet exhibits resilience to highly-noisy clusters and effectively deals with in-strand IDS errors. The effectiveness and robustness of the proposed method are validated on three representative next-generation sequencing datasets. Results demonstrate that RobuSeqNet maintains high sequence reconstruction success rates of 99.74%, 99.58%, and 96.44% across three datasets, even in the presence of noisy clusters containing up to 20% contaminated sequences, outperforming known sequence reconstruction models. Additionally, in scenarios without contaminated sequences, it exhibits comparable performance to existing models, achieving success rates of 99.88%, 99.82%, and 97.68% across the three datasets.

Published
2024
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