227 citations · 341 across the 46 of their papers we have counts for
24 papers · 1 filter
Dissecting Agentic Forensics: The Role of Triage, Prompting, and Evidence Arbitration in Open-World Fake Image Detection
Xianlong Li, Pietro Bongini, Niccoló Pancino +3
Image forensics is increasingly an open-world problem: manipulations range from fully synthetic images to localized edits, splicing and swapping, while most forensic detectors rema…
An Efficient and Effective Watermarking Scheme for the Protection of the Intellectual Property Rights of Video Generative Models
Wenhong Huang, Jianwei Fei, Benedetta Tondi +2
The rapid development of video generative models (VGMs) has enabled the generation of highly realistic synthetic videos, raising concerns about the intellectual property rights (IP…
Representation and Reference Selection in Training-Free Synthetic Image Attribution
Meiling Li, Pietro Bongini, Benedetta Tondi +1
Synthetic image attribution aims at identifying the generator responsible for a given AI-generated image. Training-free reference-based attribution methods are easily scalable, sin…
Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models
Jianwei Fei, Yunshu Dai, Zhihua Xia +4
Model fingerprinting, embedding user-specific identifiers (fingerprints) into generated outputs, has recently emerged as a popular solution to protect the intellectual property rig…
Enhancing Visual Sentiment Analysis via Semiotic Isotopy-Guided Dataset Construction
Marco Blanchini, Giovanna Maria Dimitri, Benedetta Tondi +2
Visual Sentiment Analysis (VSA) is a challenging task due to the vast diversity of emotionally salient images and the inherent difficulty of acquiring sufficient data to capture th…
Training-free Source Attribution of AI-generated Images via Resynthesis
Pietro Bongini, Valentina Molinari, Andrea Costanzo +2
Synthetic image source attribution is a challenging task, especially in data scarcity conditions requiring few-shot or zero-shot classification capabilities. We present a new train…
An Efficient Watermarking Method for Latent Diffusion Models via Low-Rank Adaptation and Dynamic Loss Weighting
Dongdong Lin, Yue Li, Benedetta Tondi +3
The rapid proliferation of Deep Neural Networks (DNNs) is driving a surge in model watermarking technologies, as the trained models themselves constitute valuable intellectual prop…
BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution
Jun Wang, Benedetta Tondi, Mauro Barni
Synthetic image attribution addresses the problem of tracing back the origin of images produced by generative models. Extensive efforts have been made to explore unique representat…
Robust Retraining-free GAN Fingerprinting via Personalized Normalization
Jianwei Fei, Zhihua Xia, Benedetta Tondi +1
In recent years, there has been significant growth in the commercial applications of generative models, licensed and distributed by model developers to users, who in turn use them…
Wide Flat Minimum Watermarking for Robust Ownership Verification of GANs
Jianwei Fei, Zhihua Xia, Benedetta Tondi +1
We propose a novel multi-bit box-free watermarking method for the protection of Intellectual Property Rights (IPR) of GANs with improved robustness against white-box attacks like f…
A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic Images
Lydia Abady, Jun Wang, Benedetta Tondi +1
Despite the wide variety of methods developed for synthetic image attribution, most of them can only attribute images generated by models or architectures included in the training…
Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture
Jun Wang, Omran Alamayreh, Benedetta Tondi +1
Classification of AI-manipulated content is receiving great attention, for distinguishing different types of manipulations. Most of the methods developed so far fail in the open-se…
Universal Detection of Backdoor Attacks via Density-based Clustering and Centroids Analysis
Wei Guo, Benedetta Tondi, Mauro Barni
We propose a Universal Defence against backdoor attacks based on Clustering and Centroids Analysis (CCA-UD). The goal of the defence is to reveal whether a Deep Neural Network mode…
An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images
Lydia Abady, Edoardo Daniele Cannas, Paolo Bestagini +3
Due to the reduction of technological costs and the increase of satellites launches, satellite images are becoming more popular and easier to obtain. Besides serving benevolent pur…
Supervised GAN Watermarking for Intellectual Property Protection
Jianwei Fei, Zhihua Xia, Benedetta Tondi +1
We propose a watermarking method for protecting the Intellectual Property (IP) of Generative Adversarial Networks (GANs). The aim is to watermark the GAN model so that any image ge…
Which country is this picture from? New data and methods for DNN-based country recognition
Omran Alamayreh, Giovanna Maria Dimitri, Jun Wang +2
Recognizing the country where a picture has been taken has many potential applications, such as identification of fake news and prevention of disinformation campaigns. Previous wor…
Robust and Large-Payload DNN Watermarking via Fixed, Distribution-Optimized, Weights
Benedetta Tondi, Andrea Costanzo, Mauro Barni
The design of an effective multi-bit watermarking algorithm hinges upon finding a good trade-off between the three fundamental requirements forming the watermarking trade-off trian…
A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection
Wei Guo, Benedetta Tondi, Mauro Barni
We propose a stealthy clean-label video backdoor attack against Deep Learning (DL)-based models aiming at detecting a particular class of spoofing attacks, namely video rebroadcast…
An Architecture for the detection of GAN-generated Flood Images with Localization Capabilities
Jun Wang, Omran Alamayreh, Benedetta Tondi +1
In this paper, we address a new image forensics task, namely the detection of fake flood images generated by ClimateGAN architecture. We do so by proposing a hybrid deep learning a…
A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification
Wei Guo, Benedetta Tondi, Mauro Barni
We introduce a new attack against face verification systems based on Deep Neural Networks (DNN). The attack relies on the introduction into the network of a hidden backdoor, whose…
Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
Benedetta Tondi, Andrea Costranzo, Dequ Huang +1
Estimating the primary quantization matrix of double JPEG compressed images is a problem of relevant importance in image forensics since it allows to infer important information ab…
CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis
Mauro Barni, Kassem Kallas, Ehsan Nowroozi +1
Last-generation GAN models allow to generate synthetic images which are visually indistinguishable from natural ones, raising the need to develop tools to distinguish fake and natu…
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…
Copy Move Source-Target Disambiguation through Multi-Branch CNNs
Mauro Barni, Quoc-Tin Phan, Benedetta Tondi
We propose a method to identify the source and target regions of a copy-move forgery so allow a correct localisation of the tampered area. First, we cast the problem into a hypothe…