activity
20172023
most citedEfficient video integrity analysis through container characterization

36 citations · 80 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2023★ 4 cited

NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection

Yu Chen, Yang Yu, Rongrong Ni +2

Deepfake technologies empowered by deep learning are rapidly evolving, creating new security concerns for society. Existing multimodal detection methods usually capture audio-visua…

eess.IV2021★ 5 cited

Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering

Yakun Niu, Benedetta Tondi, Yao Zhao +2

Detection of inconsistencies of double JPEG artefacts across different image regions is often used to detect local image manipulations, like image splicing, and to localize them. I…

cs.MM2021★ 36 cited

Efficient video integrity analysis through container characterization

Pengpeng Yang, Daniele Baracchi, Massimo Iuliani +4

Most video forensic techniques look for traces within the data stream that are, however, mostly ineffective when dealing with strongly compressed or low resolution videos. Recent r…

cs.CV2020★ 8 cited

Mining Generalized Features for Detecting AI-Manipulated Fake Faces

Yang Yu, Rongrong Ni, Yao Zhao

Recently, AI-manipulated face techniques have developed rapidly and constantly, which has raised new security issues in society. Although existing detection methods consider differ…

cs.CV2020

Increased-confidence adversarial examples for deep learning counter-forensics

Wenjie Li, Benedetta Tondi, Rongrong Ni +1

Transferability of adversarial examples is a key issue to apply this kind of attacks against multimedia forensics (MMF) techniques based on Deep Learning (DL) in a real-life settin…

cs.MM2019★ 2 cited

Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics

Pengpeng Yang, Rongrong Ni, Yao Zhao +2

Contrast enhancement (CE) forensics techniques have always been of great interest for image forensics community, as they can be an effective tool for recovering image history and i…

cs.MM2018★ 1 cited

Double JPEG Compression Detection by Exploring the Correlations in DCT Domain

Pengpeng Yang, Rongrong Ni, Yao Zhao

In the field of digital image processing, JPEG image compression technique has been widely applied. And numerous image processing software suppose this. It is likely for the images…

cs.CV2018★ 6 cited

Security Consideration For Deep Learning-Based Image Forensics

Wei Zhao, Pengpeng Yang, Rongrong Ni +2

Recently, image forensics community has paied attention to the research on the design of effective algorithms based on deep learning technology and facts proved that combining the…

cs.MM2018★ 4 cited

Robust Contrast Enhancement Forensics Using Pixel and Histogram Domain CNNs

Pengpeng Yang, Rongrong Ni, Yao Zhao +2

Contrast enhancement (CE) forensics has always been ofconcern to image forensics community. It can provide aneffective tool for recovering image history and identifyingtampered ima…

eess.IV2018★ 1 cited

Non-Local Graph-Based Prediction For Reversible Data Hiding In Images

Qi Chang, Gene Cheung, Yao Zhao +2

Reversible data hiding (RDH) is desirable in applications where both the hidden message and the cover medium need to be recovered without loss. Among many RDH approaches is predict…

cs.CR2018★ 4 cited

Secure Detection of Image Manipulation by means of Random Feature Selection

Zhipeng Chen, Benedetta Tondi, Xiaolong Li +3

We address the problem of data-driven image manipulation detection in the presence of an attacker with limited knowledge about the detector. Specifically, we assume that the attack…

cs.CV2017★ 9 cited

Source Camera Identification Based On Content-Adaptive Fusion Network

Pengpeng Yang, Wei Zhao, Rongrong Ni +1

Source camera identification is still a hard task in forensics community, especially for the case of the small query image size. In this paper, we propose a solution to identify th…