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Shunquan Tan
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2020 – today
- 2024
- [j41]Israr Hussain
, Shunquan Tan
A semi-supervised deep learning approach for cropped image detection. Expert Syst. Appl. 243: 122832 (2024) - [j40]Israr Hussain
A knowledge distillation based deep learning framework for cropped images detection in spatial domain. Signal Process. Image Commun. 124: 117117 (2024) - [j39]Pei Yan, Shunquan Tan
Enhanced Dynamic Analysis for Malware Detection With Gradient Attack. IEEE Signal Process. Lett. 31: 2825-2829 (2024) - [j38]Rongxuan Peng
Employing Reinforcement Learning to Construct a Decision-Making Environment for Image Forgery Localization. IEEE Trans. Inf. Forensics Secur. 19: 4820-4834 (2024) - [j37]Xiaofeng Shen
Hiding Face Into Background: A Proactive Countermeasure Against Malicious Face Swapping. IEEE Trans. Ind. Informatics 20(8): 10613-10623 (2024) - [c22]Zhuofan Yang, Qiushi Li, Shenghai Luo, Shunquan Tan, Bin Li:
Improving VGG-Style Convnet for JPEG Steganalysis. ICASSP 2024: 4450-4454 - [c21]Rongxuan Peng, Xianbo Mo, Shunquan Tan, Bin Li, Jiwu Huang:
A Keyless Extraction Framework Targeting at Deep Learning Based Image-Within-Image Models. ICASSP 2024: 12846-12850 - [c20]Yang Su
A Novel Universal Image Forensics Localization Model Based on Image Noise and Segment Anything Model. IH&MMSec 2024: 149-158 - [c19]Miaoxin Ye
GAN-based Symmetric Embedding Costs Adjustment for Enhancing Image Steganographic Security. ACM Multimedia 2024: 7046-7054 - 2023
- [j36]Xiaofeng Shen, Heng Yao
VHNet: A Video Hiding Network with robustness to video coding. J. Inf. Secur. Appl. 75: 103515 (2023) - [j35]Yucheng Guan, Shunquan Tan
Binary steganography based on generative adversarial nets. Multim. Tools Appl. 82(5): 6687-6706 (2023) - [j34]Han Chen
Learning Features of Intra-Consistency and Inter-Diversity: Keys Toward Generalizable Deepfake Detection. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1468-1480 (2023) - [j33]Guanglin Li
Learning Deep Co-Occurrence Features. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1610-1623 (2023) - [j32]Shunquan Tan
STD-NET: Search of Image Steganalytic Deep-Learning Architecture via Hierarchical Tensor Decomposition. IEEE Trans. Dependable Secur. Comput. 20(3): 2657-2673 (2023) - [j31]Xianbo Mo
ReLOAD: Using Reinforcement Learning to Optimize Asymmetric Distortion for Additive Steganography. IEEE Trans. Inf. Forensics Secur. 18: 1524-1538 (2023) - [c18]Xianbo Mo
Poster: Query-efficient Black-box Attack for Image Forgery Localization via Reinforcement Learning. CCS 2023: 3552-3554 - [i14]Long Zhuo, Shenghai Luo, Shunquan Tan, Han Chen, Bin Li, Jiwu Huang:
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization. CoRR abs/2310.10036 (2023) - [i13]Pei Yan, Shunquan Tan, Miaohui Wang, Jiwu Huang:
Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4. CoRR abs/2312.08317 (2023) - 2022
- [j30]Long Zhuo, Shunquan Tan
ISP-GAN: inception sub-pixel deconvolution-based lightweight GANs for colorization. Multim. Tools Appl. 81(17): 24977-24994 (2022) - [j29]Shunquan Tan
Hybrid deep-learning framework for object-based forgery detection in video. Signal Process. Image Commun. 105: 116695 (2022) - [j28]Qiushi Li
One-Class Double Compression Detection of Advanced Videos Based on Simple Gaussian Distribution Model. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2496-2500 (2022) - [j27]Xinghong Qin
Gradually Enhanced Adversarial Perturbations on Color Pixel Vectors for Image Steganography. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5110-5123 (2022) - [j26]Long Zhuo, Shunquan Tan
Self-Adversarial Training Incorporating Forgery Attention for Image Forgery Localization. IEEE Trans. Inf. Forensics Secur. 17: 819-834 (2022) - [j25]Kangkang Wei
Universal Deep Network for Steganalysis of Color Image Based on Channel Representation. IEEE Trans. Inf. Forensics Secur. 17: 3022-3036 (2022) - [c17]Guanglin Li, Bin Li, Changsheng Chen, Shunquan Tan, Guoping Qiu:
Learning General Gaussian Mixture Model with Integral Cosine Similarity. IJCAI 2022: 3201-3207 - [d1]Shunquan Tan
CALPA-NET. IEEE DataPort, 2022 - [i12]Shunquan Tan, Qiushi Li, Laiyuan Li, Bin Li, Jiwu Huang:
STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor Decomposition. CoRR abs/2206.05651 (2022) - 2021
- [j24]Israr Hussain
A novel deep learning framework for double JPEG compression detection of small size blocks. J. Vis. Commun. Image Represent. 80: 103269 (2021) - [j23]Baoying Chen
FeatureTransfer: Unsupervised Domain Adaptation for Cross-Domain Deepfake Detection. Secur. Commun. Networks 2021: 9942754:1-9942754:8 (2021) - [j22]Shunquan Tan
CALPA-NET: Channel-Pruning-Assisted Deep Residual Network for Steganalysis of Digital Images. IEEE Trans. Inf. Forensics Secur. 16: 131-146 (2021) - [j21]Peiyu Zhuang
Image Tampering Localization Using a Dense Fully Convolutional Network. IEEE Trans. Inf. Forensics Secur. 16: 2986-2999 (2021) - [j20]Xianbo Mo
MCTSteg: A Monte Carlo Tree Search-Based Reinforcement Learning Framework for Universal Non-Additive Steganography. IEEE Trans. Inf. Forensics Secur. 16: 4306-4320 (2021) - [c16]Xinghong Qin, Shunquan Tan, Weixuan Tang, Bin Li, Jiwu Huang:
Image Steganography Based on Iterative Adversarial Perturbations Onto a Synchronized-Directions Sub-Image. ICASSP 2021: 2705-2709 - [i11]Xinghong Qin, Shunquan Tan, Bin Li, Weixuan Tang, Jiwu Huang:
Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image. CoRR abs/2101.05209 (2021) - [i10]Xianbo Mo, Shunquan Tan, Bin Li, Jiwu Huang:
MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography. CoRR abs/2103.13689 (2021) - [i9]Long Zhuo, Shunquan Tan, Bin Li, Jiwu Huang:
Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization. CoRR abs/2107.02434 (2021) - [i8]Kangkang Wei, Weiqi Luo, Shunquan Tan, Jiwu Huang:
Universal Deep Network for Steganalysis of Color Image based on Channel Representation. CoRR abs/2111.12231 (2021) - 2020
- [j19]Israr Hussain, Jishen Zeng, Xinhong, Shunquan Tan:
A Survey on Deep Convolutional Neural Networks for Image Steganography and Steganalysis. KSII Trans. Internet Inf. Syst. 14(3): 1228-1248 (2020) - [j18]Ziling Zhou, Shunquan Tan, Jishen Zeng, Han Chen, Shaobin Hong:
Ensemble Deep Learning Features for Real-World Image Steganalysis. KSII Trans. Internet Inf. Syst. 14(11): 4557-4572 (2020) - [j17]Haodong Li
Identification of deep network generated images using disparities in color components. Signal Process. 174: 107616 (2020)
2010 – 2019
- 2019
- [j16]Xinghong Qin
A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost. IEEE Access 7: 8834-8846 (2019) - [j15]Bin Li, Haoxin Zhang, Hu Luo, Shunquan Tan:
Detecting double JPEG compression and its related anti-forensic operations with CNN. Multim. Tools Appl. 78(7): 8577-8601 (2019) - [j14]Weixuan Tang, Bin Li
CNN-Based Adversarial Embedding for Image Steganography. IEEE Trans. Inf. Forensics Secur. 14(8): 2074-2087 (2019) - [j13]Jishen Zeng
WISERNet: Wider Separate-Then-Reunion Network for Steganalysis of Color Images. IEEE Trans. Inf. Forensics Secur. 14(10): 2735-2748 (2019) - [c15]Qiushi Li
Non-structured Pruning for Deep-learning based Steganalytic Frameworks. APSIPA 2019: 1735-1739 - [i7]Shunquan Tan, Weilong Wu, Zilong Shao, Qiushi Li, Bin Li, Jiwu Huang:
CALPA-NET: Channel-pruning-assisted Deep Residual Network for Steganalysis of Digital Images. CoRR abs/1911.04657 (2019) - 2018
- [j12]Bo Wang, Jianfeng Yin, Shunquan Tan, Yabin Li, Ming Li:
Source camera model identification based on convolutional neural networks with local binary patterns coding. Signal Process. Image Commun. 68: 162-168 (2018) - [j11]Bin Li
ReST-Net: Diverse Activation Modules and Parallel Subnets-Based CNN for Spatial Image Steganalysis. IEEE Signal Process. Lett. 25(5): 650-654 (2018) - [j10]Jishen Zeng
Large-Scale JPEG Image Steganalysis Using Hybrid Deep-Learning Framework. IEEE Trans. Inf. Forensics Secur. 13(5): 1200-1214 (2018) - [j9]Bin Li
New Steganalytic Features for Spatial Image Steganography Based on Derivative Filters and Threshold LBP Operator. IEEE Trans. Inf. Forensics Secur. 13(5): 1242-1257 (2018) - [c14]Haodong Li
Can Forensic Detectors Identify GAN Generated Images? APSIPA 2018: 722-727 - [c13]Long Zhuo, Shunquan Tan, Jishen Zeng, Bin Li:
Fake Colorized Image Detection with Channel-wise Convolution based Deep-learning Framework. APSIPA 2018: 733-736 - [c12]Hongrun Zhang, Bin Li, Shunquan Tan:
A New Steganographic Distortion Function with Explicit Considerations of Modification Interactions. ICCCS (2) 2018: 460-471 - [c11]Shijun Zhou, Weixuan Tang, Shunquan Tan, Bin Li:
Content-Adaptive Steganalysis via Augmented Utilization of Selection-Channel Information. IWDW 2018: 261-274 - [c10]Yuankun Huang
VPCID - A VoIP Phone Call Identification Database. IWDW 2018: 307-321 - [c9]Xiancheng Wu, Shunquan Tan:
An Optimization Strategy for Improving Security in Steganography. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1461-1466 - [i6]Jishen Zeng, Shunquan Tan, Guangqing Liu, Bin Li, Jiwu Huang:
WISERNet: Wider Separate-then-reunion Network for Steganalysis of Color Images. CoRR abs/1803.04805 (2018) - [i5]Weixuan Tang, Bin Li, Shunquan Tan, Mauro Barni, Jiwu Huang:
CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography. CoRR abs/1803.09043 (2018) - [i4]Haodong Li, Bin Li, Shunquan Tan, Jiwu Huang:
Detection of Deep Network Generated Images Using Disparities in Color Components. CoRR abs/1808.07276 (2018) - 2017
- [j8]Weixuan Tang, Shunquan Tan, Bin Li, Jiwu Huang:
Automatic Steganographic Distortion Learning Using a Generative Adversarial Network. IEEE Signal Process. Lett. 24(10): 1547-1551 (2017) - [j7]Shunquan Tan
Pixel-Decimation-Assisted Steganalysis of Synchronize-Embedding-Changes Steganography. IEEE Trans. Inf. Forensics Secur. 12(7): 1658-1670 (2017) - [c8]Jishen Zeng, Shunquan Tan, Bin Li, Jiwu Huang:
Pre-training via fitting deep neural network to rich-model features extraction procedure and its effect on deep learning for steganalysis. Media Watermarking, Security, and Forensics 2017: 44-49 - [i3]Bin Li, Hu Luo, Haoxin Zhang, Shunquan Tan, Zhongzhou Ji:
A multi-branch convolutional neural network for detecting double JPEG compression. CoRR abs/1710.05477 (2017) - 2016
- [j6]Shengda Chen, Shunquan Tan
Automatic Detection of Object-Based Forgery in Advanced Video. IEEE Trans. Circuits Syst. Video Technol. 26(11): 2138-2151 (2016) - [i2]Jishen Zeng, Shunquan Tan, Bin Li, Jiwu Huang:
Large-scale JPEG steganalysis using hybrid deep-learning framework. CoRR abs/1611.03233 (2016) - 2015
- [j5]Bin Li, Tian-Tsong Ng
Revealing the Trace of High-Quality JPEG Compression Through Quantization Noise Analysis. IEEE Trans. Inf. Forensics Secur. 10(3): 558-573 (2015) - [j4]Bin Li, Ming Wang, Xiaolong Li, Shunquan Tan, Jiwu Huang:
A Strategy of Clustering Modification Directions in Spatial Image Steganography. IEEE Trans. Inf. Forensics Secur. 10(9): 1905-1917 (2015) - [j3]Bin Li, Tian-Tsong Ng
Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation. IEEE Trans. Image Process. 24(5): 1471-1484 (2015) - [c7]Shunquan Tan, Shengda Chen, Bin Li:
GOP based automatic detection of object-based forgery in advanced video. APSIPA 2015: 719-722 - 2014
- [j2]Bin Li, Shunquan Tan, Ming Wang, Jiwu Huang:
Investigation on Cost Assignment in Spatial Image Steganography. IEEE Trans. Inf. Forensics Secur. 9(8): 1264-1277 (2014) - [c6]Shunquan Tan, Bin Li:
Stacked convolutional auto-encoders for steganalysis of digital images. APSIPA 2014: 1-4 - [i1]Bin Li, Tian-Tsong Ng, Xiaolong Li, Shunquan Tan, Jiwu Huang:
JPEG Noises beyond the First Compression Cycle. CoRR abs/1405.7571 (2014) - 2012
- [j1]Shunquan Tan, Bin Li:
Targeted Steganalysis of Edge Adaptive Image Steganography Based on LSB Matching Revisited Using B-Spline Fitting. IEEE Signal Process. Lett. 19(6): 336-339 (2012) - [c5]Shunquan Tan, Bin Li:
Targeted steganalysis of adaptive pixel-value differencing steganography. ICIP 2012: 1129-1132 - 2011
- [c4]Shunquan Tan:
Steganalysis of LSB Matching Revisited for Consecutive Pixels Using B-Spline Functions. IWDW 2011: 16-29
2000 – 2009
- 2007
- [c3]Shunquan Tan, Jiwu Huang, Yun Q. Shi:
Steganalysis of Enhanced BPCS Steganography Using the Hilbert-Huang Transform Based Sequential Analysis. IWDW 2007: 112-126 - [c2]Bin Li, Fangjun Huang, Shunquan Tan, Jiwu Huang, Yun Q. Shi:
Effect of Different Coding Patterns on Compressed Frequency Domain Based Universal JPEG Steganalysis. IWDW 2007: 143-157 - 2006
- [c1]Shunquan Tan, Jiwu Huang, Zhihua Yang, Yun Q. Shi:
Steganalysis of JPEG2000 Lazy-Mode Steganography using the Hilbert-Huang Transform Based Sequential Analysis. ICIP 2006: 101-104
Coauthor Index
[j38] [c22] [c21] [j34] [j33] [j32] [j31] [c18] [i14] [j30] [j29] [j28] [j27] [j26] [c17] [i12] [j24] [j22] [j21] [j20] [c16] [i11] [i10] [i9] [j17] [j16] [j15] [j14] [j13] [c15] [i7] [j11] [j10] [j9] [c14] [c13] [c12] [c11] [c10] [i6] [i5] [i4] [j8] [j7] [c8] [i3] [j6] [i2] [j5] [j4] [j3] [c7] [j2] [c6] [i1] [j1] [c5] [c2]
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last updated on 2024-11-07 21:32 CET by the dblp team
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