Shunquan Tan

Orcid: 0000-0002-7457-3691

According to our database1, Shunquan Tan authored at least 74 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hiding Face Into Background: A Proactive Countermeasure Against Malicious Face Swapping.
IEEE Trans. Ind. Informatics, August, 2024

Employing Reinforcement Learning to Construct a Decision-Making Environment for Image Forgery Localization.
IEEE Trans. Inf. Forensics Secur., 2024

Enhanced Dynamic Analysis for Malware Detection With Gradient Attack.
IEEE Signal Process. Lett., 2024

A knowledge distillation based deep learning framework for cropped images detection in spatial domain.
Signal Process. Image Commun., 2024

A semi-supervised deep learning approach for cropped image detection.
Expert Syst. Appl., 2024

GAN-based Symmetric Embedding Costs Adjustment for Enhancing Image Steganographic Security.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Novel Universal Image Forensics Localization Model Based on Image Noise and Segment Anything Model.
Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2024

Velocity Field-Based Surveillance Video Frame Deletion Detection Using Siamese Network.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Copyright Protection for Large Language Model EaaS via Unforgeable Backdoor Watermarking.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Improving VGG-Style Convnet for JPEG Steganalysis.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Keyless Extraction Framework Targeting at Deep Learning Based Image-Within-Image Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
VHNet: A Video Hiding Network with robustness to video coding.
J. Inf. Secur. Appl., June, 2023

Learning Deep Co-Occurrence Features.
IEEE Trans. Circuits Syst. Video Technol., April, 2023

Learning Features of Intra-Consistency and Inter-Diversity: Keys Toward Generalizable Deepfake Detection.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Binary steganography based on generative adversarial nets.
Multim. Tools Appl., February, 2023

ReLOAD: Using Reinforcement Learning to Optimize Asymmetric Distortion for Additive Steganography.
IEEE Trans. Inf. Forensics Secur., 2023

STD-NET: Search of Image Steganalytic Deep-Learning Architecture via Hierarchical Tensor Decomposition.
IEEE Trans. Dependable Secur. Comput., 2023

Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4.
CoRR, 2023

Evading Detection Actively: Toward Anti-Forensics against Forgery Localization.
CoRR, 2023

Poster: Query-efficient Black-box Attack for Image Forgery Localization via Reinforcement Learning.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
CALPA-NET.
Dataset, May, 2022

Self-Adversarial Training Incorporating Forgery Attention for Image Forgery Localization.
IEEE Trans. Inf. Forensics Secur., 2022

Universal Deep Network for Steganalysis of Color Image Based on Channel Representation.
IEEE Trans. Inf. Forensics Secur., 2022

Gradually Enhanced Adversarial Perturbations on Color Pixel Vectors for Image Steganography.
IEEE Trans. Circuits Syst. Video Technol., 2022

One-Class Double Compression Detection of Advanced Videos Based on Simple Gaussian Distribution Model.
IEEE Trans. Circuits Syst. Video Technol., 2022

Hybrid deep-learning framework for object-based forgery detection in video.
Signal Process. Image Commun., 2022

ISP-GAN: inception sub-pixel deconvolution-based lightweight GANs for colorization.
Multim. Tools Appl., 2022

Learning General Gaussian Mixture Model with Integral Cosine Similarity.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Image Tampering Localization Using a Dense Fully Convolutional Network.
IEEE Trans. Inf. Forensics Secur., 2021

CALPA-NET: Channel-Pruning-Assisted Deep Residual Network for Steganalysis of Digital Images.
IEEE Trans. Inf. Forensics Secur., 2021

MCTSteg: A Monte Carlo Tree Search-Based Reinforcement Learning Framework for Universal Non-Additive Steganography.
IEEE Trans. Inf. Forensics Secur., 2021

FeatureTransfer: Unsupervised Domain Adaptation for Cross-Domain Deepfake Detection.
Secur. Commun. Networks, 2021

A novel deep learning framework for double JPEG compression detection of small size blocks.
J. Vis. Commun. Image Represent., 2021

Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image.
CoRR, 2021

Image Steganography Based on Iterative Adversarial Perturbations Onto a Synchronized-Directions Sub-Image.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Identification of deep network generated images using disparities in color components.
Signal Process., 2020

Ensemble Deep Learning Features for Real-World Image Steganalysis.
KSII Trans. Internet Inf. Syst., 2020

A Survey on Deep Convolutional Neural Networks for Image Steganography and Steganalysis.
KSII Trans. Internet Inf. Syst., 2020

2019
WISERNet: Wider Separate-Then-Reunion Network for Steganalysis of Color Images.
IEEE Trans. Inf. Forensics Secur., 2019

CNN-Based Adversarial Embedding for Image Steganography.
IEEE Trans. Inf. Forensics Secur., 2019

Detecting double JPEG compression and its related anti-forensic operations with CNN.
Multim. Tools Appl., 2019

A Novel Steganography for Spatial Color Images Based on Pixel Vector Cost.
IEEE Access, 2019

Non-structured Pruning for Deep-learning based Steganalytic Frameworks.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Large-Scale JPEG Image Steganalysis Using Hybrid Deep-Learning Framework.
IEEE Trans. Inf. Forensics Secur., 2018

New Steganalytic Features for Spatial Image Steganography Based on Derivative Filters and Threshold LBP Operator.
IEEE Trans. Inf. Forensics Secur., 2018

ReST-Net: Diverse Activation Modules and Parallel Subnets-Based CNN for Spatial Image Steganalysis.
IEEE Signal Process. Lett., 2018

Source camera model identification based on convolutional neural networks with local binary patterns coding.
Signal Process. Image Commun., 2018

Detection of Deep Network Generated Images Using Disparities in Color Components.
CoRR, 2018

CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography.
CoRR, 2018

An Optimization Strategy for Improving Security in Steganography.
Proceedings of the 2018 IEEE SmartWorld, 2018

Content-Adaptive Steganalysis via Augmented Utilization of Selection-Channel Information.
Proceedings of the Digital Forensics and Watermarking - 17th International Workshop, 2018

VPCID - A VoIP Phone Call Identification Database.
Proceedings of the Digital Forensics and Watermarking - 17th International Workshop, 2018

A New Steganographic Distortion Function with Explicit Considerations of Modification Interactions.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

Fake Colorized Image Detection with Channel-wise Convolution based Deep-learning Framework.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Can Forensic Detectors Identify GAN Generated Images?
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
Pixel-Decimation-Assisted Steganalysis of Synchronize-Embedding-Changes Steganography.
IEEE Trans. Inf. Forensics Secur., 2017

Automatic Steganographic Distortion Learning Using a Generative Adversarial Network.
IEEE Signal Process. Lett., 2017

A multi-branch convolutional neural network for detecting double JPEG compression.
CoRR, 2017

Pre-training via fitting deep neural network to rich-model features extraction procedure and its effect on deep learning for steganalysis.
Proceedings of the Media Watermarking, Security, and Forensics 2017, Burlingame, CA, USA, 29 January 2017, 2017

2016
Automatic Detection of Object-Based Forgery in Advanced Video.
IEEE Trans. Circuits Syst. Video Technol., 2016

Large-scale JPEG steganalysis using hybrid deep-learning framework.
CoRR, 2016

2015
Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation.
IEEE Trans. Image Process., 2015

A Strategy of Clustering Modification Directions in Spatial Image Steganography.
IEEE Trans. Inf. Forensics Secur., 2015

Revealing the Trace of High-Quality JPEG Compression Through Quantization Noise Analysis.
IEEE Trans. Inf. Forensics Secur., 2015

GOP based automatic detection of object-based forgery in advanced video.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014
Investigation on Cost Assignment in Spatial Image Steganography.
IEEE Trans. Inf. Forensics Secur., 2014

JPEG Noises beyond the First Compression Cycle.
CoRR, 2014

Stacked convolutional auto-encoders for steganalysis of digital images.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

2012
Targeted Steganalysis of Edge Adaptive Image Steganography Based on LSB Matching Revisited Using B-Spline Fitting.
IEEE Signal Process. Lett., 2012

Targeted steganalysis of adaptive pixel-value differencing steganography.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Steganalysis of LSB Matching Revisited for Consecutive Pixels Using B-Spline Functions.
Proceedings of the Digital Forensics and Watermarking - 10th International Workshop, 2011

2007
Steganalysis of Enhanced BPCS Steganography Using the Hilbert-Huang Transform Based Sequential Analysis.
Proceedings of the Digital Watermarking, 6th International Workshop, 2007

Effect of Different Coding Patterns on Compressed Frequency Domain Based Universal JPEG Steganalysis.
Proceedings of the Digital Watermarking, 6th International Workshop, 2007

2006
Steganalysis of JPEG2000 Lazy-Mode Steganography using the Hilbert-Huang Transform Based Sequential Analysis.
Proceedings of the International Conference on Image Processing, 2006


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