227 citations · 247 across the 25 of their papers we have counts for
14 papers · 1 filter
Of-SemWat: High-payload text embedding for semantic watermarking of AI-generated images with arbitrary size
Benedetta Tondi, Andrea Costanzo, Mauro Barni
We propose a high-payload image watermarking method for textual embedding, where a semantic description of the image - which may also correspond to the input text prompt-, is embed…
CycleGANWM: A CycleGAN watermarking method for ownership verification
Dongdong Lin, Benedetta Tondi, Bin Li +1
Due to the proliferation and widespread use of deep neural networks (DNN), their Intellectual Property Rights (IPR) protection has become increasingly important. This paper present…
Spread-Transform Dither Modulation Watermarking of Deep Neural Network
Yue Li, Benedetta Tondi, Mauro Barni
DNN watermarking is receiving an increasing attention as a suitable mean to protect the Intellectual Property Rights associated to DNN models. Several methods proposed so far are i…
Challenging the adversarial robustness of DNNs based on error-correcting output codes
Bowen Zhang, Benedetta Tondi, Xixiang Lv +1
The existence of adversarial examples and the easiness with which they can be generated raise several security concerns with regard to deep learning systems, pushing researchers to…
Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples
Mauro Barni, Ehsan Nowroozi, Benedetta Tondi +1
We investigate if the random feature selection approach proposed in [1] to improve the robustness of forensic detectors to targeted attacks, can be extended to detectors based on d…
Attacking CNN-based anti-spoofing face authentication in the physical domain
Bowen Zhang, Benedetta Tondi, Mauro Barni
In this paper, we study the vulnerability of anti-spoofing methods based on deep learning against adversarial perturbations. We first show that attacking a CNN-based anti-spoofing…