Steganalysis of JPEG2000 Lazy-Mode Steganography using the Hilbert-Huang Transform Based Sequential Analysis. - Shunquan Tan; Jiwu Huang; Zhihua Yang; Yun Q. Shi 001 (ICIP, 2006)

Effect of Different Coding Patterns on Compressed Frequency Domain Based Universal JPEG Steganalysis. - Bin Li 011; Fangjun Huang; Shunquan Tan; Jiwu Huang; Yun Q. Shi 001 (IWDW, 2007)

Steganalysis of Enhanced BPCS Steganography Using the Hilbert-Huang Transform Based Sequential Analysis. - Shunquan Tan; Jiwu Huang; Yun Q. Shi 001 (IWDW, 2007)

Steganalysis of LSB Matching Revisited for Consecutive Pixels Using B-Spline Functions. - Shunquan Tan (IWDW, 2011)

Targeted steganalysis of adaptive pixel-value differencing steganography. - Shunquan Tan; Bin Li 011 (ICIP, 2012)

Targeted Steganalysis of Edge Adaptive Image Steganography Based on LSB Matching Revisited Using B-Spline Fitting. - Shunquan Tan; Bin Li 011 (IEEE Signal Process. Lett., 2012)

Stacked convolutional auto-encoders for steganalysis of digital images. - Shunquan Tan; Bin Li 011 (APSIPA, 2014)

JPEG Noises beyond the First Compression Cycle. - Bin Li 011; Tian-Tsong Ng; Xiaolong Li 001; Shunquan Tan; Jiwu Huang (CoRR, 2014)

Investigation on Cost Assignment in Spatial Image Steganography. - Bin Li 011; Shunquan Tan; Ming Wang; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2014)

GOP based automatic detection of object-based forgery in advanced video. - Shunquan Tan; Shengda Chen; Bin Li 011 (APSIPA, 2015)

Revealing the Trace of High-Quality JPEG Compression Through Quantization Noise Analysis. - Bin Li 011; Tian-Tsong Ng; Xiaolong Li 001; Shunquan Tan; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2015)

A Strategy of Clustering Modification Directions in Spatial Image Steganography. - Bin Li 011; Ming Wang; Xiaolong Li 001; Shunquan Tan; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2015)

Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation. - Bin Li 011; Tian-Tsong Ng; Xiaolong Li 001; Shunquan Tan; Jiwu Huang (IEEE Trans. Image Process., 2015)

Large-scale JPEG steganalysis using hybrid deep-learning framework. - Jishen Zeng; Shunquan Tan; Bin Li 011; Jiwu Huang (CoRR, 2016)

Automatic Detection of Object-Based Forgery in Advanced Video. - Shengda Chen; Shunquan Tan; Bin Li 011; Jiwu Huang (IEEE Trans. Circuits Syst. Video Technol., 2016)

Pre-training via fitting deep neural network to rich-model features extraction procedure and its effect on deep learning for steganalysis. - Jishen Zeng; Shunquan Tan; Bin Li 011; Jiwu Huang (Media Watermarking, Security, and Forensics, 2017)

A multi-branch convolutional neural network for detecting double JPEG compression. - Bin Li 011; Hu Luo; Haoxin Zhang; Shunquan Tan; Zhongzhou Ji (CoRR, 2017)

Automatic Steganographic Distortion Learning Using a Generative Adversarial Network. - Weixuan Tang; Shunquan Tan; Bin Li 011; Jiwu Huang (IEEE Signal Process. Lett., 2017)

Pixel-Decimation-Assisted Steganalysis of Synchronize-Embedding-Changes Steganography. - Shunquan Tan; Haojie Zhang; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2017)

Can Forensic Detectors Identify GAN Generated Images? - Haodong Li 001; Han Chen; Bin Li 011; Shunquan Tan (APSIPA, 2018)

Fake Colorized Image Detection with Channel-wise Convolution based Deep-learning Framework. - Long Zhuo; Shunquan Tan; Jishen Zeng; Bin Li 011 (APSIPA, 2018)

A New Steganographic Distortion Function with Explicit Considerations of Modification Interactions. - Hongrun Zhang; Bin Li 011; Shunquan Tan (ICCCS (2), 2018)

VPCID - A VoIP Phone Call Identification Database. - Yuankun Huang; Shunquan Tan; Bin Li 011; Jiwu Huang (IWDW, 2018)

Content-Adaptive Steganalysis via Augmented Utilization of Selection-Channel Information. - Shijun Zhou; Weixuan Tang; Shunquan Tan; Bin Li 011 (IWDW, 2018)

An Optimization Strategy for Improving Security in Steganography. - Xiancheng Wu; Shunquan Tan (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography. - Weixuan Tang; Bin Li 011; Shunquan Tan; Mauro Barni; Jiwu Huang (CoRR, 2018)

Detection of Deep Network Generated Images Using Disparities in Color Components. - Haodong Li 001; Bin Li 011; Shunquan Tan; Jiwu Huang (CoRR, 2018)

Source camera model identification based on convolutional neural networks with local binary patterns coding. - Bo Wang 024; Jianfeng Yin; Shunquan Tan; Yabin Li; Ming Li 011 (Signal Process. Image Commun., 2018)

ReST-Net: Diverse Activation Modules and Parallel Subnets-Based CNN for Spatial Image Steganalysis. - Bin Li 011; Weihang Wei; Anselmo Ferreira; Shunquan Tan (IEEE Signal Process. Lett., 2018)

New Steganalytic Features for Spatial Image Steganography Based on Derivative Filters and Threshold LBP Operator. - Bin Li 011; Zhongpeng Li; Shijun Zhou; Shunquan Tan; Xiaoling Zhang (IEEE Trans. Inf. Forensics Secur., 2018)

Large-Scale JPEG Image Steganalysis Using Hybrid Deep-Learning Framework. - Jishen Zeng; Shunquan Tan; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2018)

Non-structured Pruning for Deep-learning based Steganalytic Frameworks. - Qiushi Li; Zilong Shao; Shunquan Tan; Jishen Zeng; Bin Li 011 (APSIPA, 2019)

A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost. - Xinghong Qin; Bin Li 011; Shunquan Tan; Jishen Zeng (IEEE Access, 2019)

Detecting double JPEG compression and its related anti-forensic operations with CNN. - Bin Li 011; Haoxin Zhang; Hu Luo; Shunquan Tan (Multim. Tools Appl., 2019)

CNN-Based Adversarial Embedding for Image Steganography. - Weixuan Tang; Bin Li 011; Shunquan Tan; Mauro Barni; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2019)

WISERNet: Wider Separate-Then-Reunion Network for Steganalysis of Color Images. - Jishen Zeng; Shunquan Tan; Guangqing Liu; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2019)

A Survey on Deep Convolutional Neural Networks for Image Steganography and Steganalysis. - Israr Hussain; Jishen Zeng; Xinhong; Shunquan Tan (KSII Trans. Internet Inf. Syst., 2020)

Ensemble Deep Learning Features for Real-World Image Steganalysis. - Ziling Zhou; Shunquan Tan; Jishen Zeng; Han Chen; Shaobin Hong (KSII Trans. Internet Inf. Syst., 2020)

Identification of deep network generated images using disparities in color components. - Haodong Li 001; Bin Li 011; Shunquan Tan; Jiwu Huang (Signal Process., 2020)

Image Steganography Based on Iterative Adversarial Perturbations Onto a Synchronized-Directions Sub-Image. - Xinghong Qin; Shunquan Tan; Weixuan Tang; Bin Li 011; Jiwu Huang (ICASSP, 2021)

Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image. - Xinghong Qin; Shunquan Tan; Bin Li 011; Weixuan Tang; Jiwu Huang (CoRR, 2021)

A novel deep learning framework for double JPEG compression detection of small size blocks. - Israr Hussain; Shunquan Tan; Bin Li 011; Xinghong Qin; Dostdar Hussain; Jiwu Huang (J. Vis. Commun. Image Represent., 2021)

FeatureTransfer: Unsupervised Domain Adaptation for Cross-Domain Deepfake Detection. - Baoying Chen; Shunquan Tan (Secur. Commun. Networks, 2021)

MCTSteg: A Monte Carlo Tree Search-Based Reinforcement Learning Framework for Universal Non-Additive Steganography. - Xianbo Mo; Shunquan Tan; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2021)

CALPA-NET: Channel-Pruning-Assisted Deep Residual Network for Steganalysis of Digital Images. - Shunquan Tan; Weilong Wu; Zilong Shao; Qiushi Li; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2021)

Image Tampering Localization Using a Dense Fully Convolutional Network. - Peiyu Zhuang; Haodong Li 001; Shunquan Tan; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2021)

Learning General Gaussian Mixture Model with Integral Cosine Similarity. - Guanglin Li 001; Bin Li 011; Changsheng Chen; Shunquan Tan; Guoping Qiu (IJCAI, 2022)

ISP-GAN: inception sub-pixel deconvolution-based lightweight GANs for colorization. - Long Zhuo; Shunquan Tan; Bin Li 011; Jiwu Huang (Multim. Tools Appl., 2022)

Hybrid deep-learning framework for object-based forgery detection in video. - Shunquan Tan; Baoying Chen; Jishen Zeng; Bin Li 011; Jiwu Huang (Signal Process. Image Commun., 2022)

One-Class Double Compression Detection of Advanced Videos Based on Simple Gaussian Distribution Model. - Qiushi Li; Shengda Chen; Shunquan Tan; Bin Li 011; Jiwu Huang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Gradually Enhanced Adversarial Perturbations on Color Pixel Vectors for Image Steganography. - Xinghong Qin; Bin Li 011; Shunquan Tan; Weixuan Tang; Jiwu Huang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Universal Deep Network for Steganalysis of Color Image Based on Channel Representation. - Kangkang Wei; Weiqi Luo 001; Shunquan Tan; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2022)

Self-Adversarial Training Incorporating Forgery Attention for Image Forgery Localization. - Long Zhuo; Shunquan Tan; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2022)

CALPA-NET. - Shunquan Tan (IEEE DataPort, 2022)

Poster: Query-efficient Black-box Attack for Image Forgery Localization via Reinforcement Learning. - Xianbo Mo; Shunquan Tan; Bin Li 011; Jiwu Huang (CCS, 2023)

Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4. - Pei Yan; Shunquan Tan; Miaohui Wang; Jiwu Huang (CoRR, 2023)

STD-NET: Search of Image Steganalytic Deep-Learning Architecture via Hierarchical Tensor Decomposition. - Shunquan Tan; Qiushi Li; Laiyuan Li; Bin Li 011; Jiwu Huang (IEEE Trans. Dependable Secur. Comput., 2023)

ReLOAD: Using Reinforcement Learning to Optimize Asymmetric Distortion for Additive Steganography. - Xianbo Mo; Shunquan Tan; Weixuan Tang; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2023)

Binary steganography based on generative adversarial nets. - Yucheng Guan; Shunquan Tan; Qifen Li (Multim. Tools Appl., 2023)

Learning Features of Intra-Consistency and Inter-Diversity: Keys Toward Generalizable Deepfake Detection. - Han Chen; Yuzhen Lin; Bin Li 011; Shunquan Tan (IEEE Trans. Circuits Syst. Video Technol., 2023)

Learning Deep Co-Occurrence Features. - Guanglin Li 007; Bin Li 011; Shunquan Tan; Guoping Qiu (IEEE Trans. Circuits Syst. Video Technol., 2023)

VHNet: A Video Hiding Network with robustness to video coding. - Xiaofeng Shen; Heng Yao; Shunquan Tan; Chuan Qin 001 (J. Inf. Secur. Appl., 2023)

A Keyless Extraction Framework Targeting at Deep Learning Based Image-Within-Image Models. - Rongxuan Peng; Xianbo Mo; Shunquan Tan; Bin Li 011; Jiwu Huang (ICASSP, 2024)

Improving VGG-Style Convnet for JPEG Steganalysis. - Zhuofan Yang; Qiushi Li; Shenghai Luo; Shunquan Tan; Bin Li 011 (ICASSP, 2024)

Copyright Protection for Large Language Model EaaS via Unforgeable Backdoor Watermarking. - Cong Kong; Jiawei Chen; Shunquan Tan; Zhaoxia Yin; Xinpeng Zhang 001 (ICPR (20), 2024)

Velocity Field-Based Surveillance Video Frame Deletion Detection Using Siamese Network. - Yang Su; Shunquan Tan; Jiwu Huang (ICPR (22), 2024)

A Novel Universal Image Forensics Localization Model Based on Image Noise and Segment Anything Model. - Yang Su; Shunquan Tan; Jiwu Huang (IH&MMSec, 2024)

GAN-based Symmetric Embedding Costs Adjustment for Enhancing Image Steganographic Security. - Miaoxin Ye; Saixing Zhou; Weiqi Luo 001; Shunquan Tan; Jiwu Huang (ACM Multimedia, 2024)

A semi-supervised deep learning approach for cropped image detection. - Israr Hussain; Shunquan Tan; Jiwu Huang (Expert Syst. Appl., 2024)

A knowledge distillation based deep learning framework for cropped images detection in spatial domain. - Israr Hussain; Shunquan Tan; Jiwu Huang (Signal Process. Image Commun., 2024)

Enhanced Dynamic Analysis for Malware Detection With Gradient Attack. - Pei Yan; Shunquan Tan; Miaohui Wang; Jiwu Huang (IEEE Signal Process. Lett., 2024)

Employing Reinforcement Learning to Construct a Decision-Making Environment for Image Forgery Localization. - Rongxuan Peng; Shunquan Tan; Xianbo Mo; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2024)

Hiding Face Into Background: A Proactive Countermeasure Against Malicious Face Swapping. - Xiaofeng Shen; Heng Yao; Shunquan Tan; Chuan Qin 001 (IEEE Trans. Ind. Informatics, 2024)

Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning. - Xianbo Mo; Shunquan Tan; Bin Li 011; Jiwu Huang (AAAI, 2025)

Few-shot based learning recaptured image detection with multi-scale feature fusion and attention. - Israr Hussain; Shunquan Tan; Jiwu Huang (Pattern Recognit., 2025)

Elastic Supernet with Dynamic Training for JPEG steganalysis. - Qiushi Li; Shunquan Tan; Bin Li 011; Jiwu Huang (Signal Process., 2025)

Evading Detection Actively: Toward Anti-Forensics Against Forgery Localization. - Long Zhuo; Shenghai Luo; Shunquan Tan; Han Chen; Bin Li 011; Jiwu Huang (IEEE Trans. Dependable Secur. Comput., 2025)

CTNet: A Convolutional Transformer Network for Color Image Steganalysis. - Kangkang Wei; Weiqi Luo 001; Shunquan Tan; Ji-Wu Huang (J. Comput. Sci. Technol., 2025)

Active Adversarial Noise Suppression for Image Forgery Localization. - Rongxuan Peng; Shunquan Tan; Xianbo Mo; Alex C. Kot; Jiwu Huang (CoRR, 2025)

ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack. - Rongxuan Peng; Shunquan Tan; Chenqi Kong; Anwei Luo; Alex C. Kot; Jiwu Huang (CoRR, 2025)

CLUE: Leveraging Low-Rank Adaptation to Capture Latent Uncovered Evidence for Image Forgery Localization. - Youqi Wang; Shunquan Tan; Rongxuan Peng; Bin Li 011; Jiwu Huang (CoRR, 2025)

SEAP: squeeze-and-excitation attention guided pruning for lightweight steganalysis networks. - Qiushi Li; Shenghai Luo; Shunquan Tan; Zhenjun Li (EURASIP J. Inf. Secur., 2025)