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2020 – today
- 2024
[j17]Diangarti Tariang
, Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
Synthetic Image Verification in the Era of Generative Artificial Intelligence: What Works and What Isn't There yet. IEEE Secur. Priv. 22(3): 37-49 (2024)- [c42]Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. CVPR Workshops 2024: 4356-4366 - [c41]Davide Cozzolino, Giovanni Poggi, Matthias Nießner, Luisa Verdoliva:
Zero-Shot Detection of AI-Generated Images. ECCV (18) 2024: 54-72 - [c40]Giada Zingarini, Davide Cozzolino, Riccardo Corvi, Giovanni Poggi, Luisa Verdoliva:
M3DSYNTH: A Dataset of Medical 3D Images with AI-Generated Local Manipulations. ICASSP 2024: 13176-13180 - [c39]Lea Uhlenbrock, Davide Cozzolino, Denise Moussa, Luisa Verdoliva, Christian Riess:
Did You Note My Palette? Unveiling Synthetic Images Through Color Statistics. IH&MMSec 2024: 47-52 - [c38]Alessandro Pianese, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models. IH&MMSec 2024: 289-294 - [c37]Vincenzo De Rosa, Fabrizio Guillaro, Giovanni Poggi, Davide Cozzolino, Luisa Verdoliva:
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection. WIFS 2024: 1-6 - [i35]Diangarti Tariang, Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet. CoRR abs/2405.00196 (2024) - [i34]Alessandro Pianese, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models. CoRR abs/2405.02179 (2024) - [i33]Vincenzo De Rosa, Fabrizio Guillaro, Giovanni Poggi, Davide Cozzolino, Luisa Verdoliva:
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection. CoRR abs/2407.19553 (2024) - [i32]Davide Cozzolino, Giovanni Poggi, Matthias Nießner, Luisa Verdoliva:
Zero-Shot Detection of AI-Generated Images. CoRR abs/2409.15875 (2024) - [i31]Fabrizio Guillaro, Giada Zingarini, Ben Usman, Avneesh Sud, Davide Cozzolino, Luisa Verdoliva:
A Bias-Free Training Paradigm for More General AI-generated Image Detection. CoRR abs/2412.17671 (2024) - 2023
- [j16]Davide Cozzolino, Koki Nagano, Lucas A. Thomaz, Angshul Majumdar, Luisa Verdoliva:
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 40(7): 94-100 (2023) - [c36]Davide Cozzolino, Alessandro Pianese, Matthias Nießner, Luisa Verdoliva:
Audio-Visual Person-of-Interest DeepFake Detection. CVPR Workshops 2023: 943-952 - [c35]Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models. CVPR Workshops 2023: 973-982 - [c34]Fabrizio Guillaro, Davide Cozzolino, Avneesh Sud, Nicholas Dufour, Luisa Verdoliva:
TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization. CVPR 2023: 20606-20615 - [c33]Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
On The Detection of Synthetic Images Generated by Diffusion Models. ICASSP 2023: 1-5 - [i30]Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models. CoRR abs/2304.06408 (2023) - [i29]Giada Zingarini, Davide Cozzolino, Riccardo Corvi, Giovanni Poggi, Luisa Verdoliva:
M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations. CoRR abs/2309.07973 (2023) - [i28]Davide Cozzolino, Koki Nagano, Lucas A. Thomaz, Angshul Majumdar, Luisa Verdoliva:
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition. CoRR abs/2309.12428 (2023) - [i27]Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. CoRR abs/2312.00195 (2023) - 2022
- [j15]Sara Mandelli, Davide Cozzolino, Edoardo Daniele Cannas, João P. Cardenuto, Daniel Moreira, Paolo Bestagini, Walter J. Scheirer, Anderson Rocha, Luisa Verdoliva, Stefano Tubaro, Edward J. Delp:
Forensic Analysis of Synthetically Generated Western Blot Images. IEEE Access 10: 59919-59932 (2022) - [c32]Hannes Mareen, Dante Vanden Bussche, Fabrizio Guillaro, Davide Cozzolino, Glenn Van Wallendael, Peter Lambert, Luisa Verdoliva:
Comprint: Image Forgery Detection and Localization Using Compression Fingerprints. ICPR Workshops (2) 2022: 281-299 - [c31]Alessandro Pianese, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Deepfake audio detection by speaker verification. WIFS 2022: 1-6 - [p1]Davide Cozzolino, Luisa Verdoliva:
Multimedia Forensics Before the Deep Learning Era. Handbook of Digital Face Manipulation and Detection 2022: 45-67 - [i26]Davide Cozzolino, Matthias Nießner, Luisa Verdoliva:
Audio-Visual Person-of-Interest DeepFake Detection. CoRR abs/2204.03083 (2022) - [i25]Alessandro Pianese, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Deepfake audio detection by speaker verification. CoRR abs/2209.14098 (2022) - [i24]Hannes Mareen, Dante Vanden Bussche, Fabrizio Guillaro, Davide Cozzolino, Glenn Van Wallendael, Peter Lambert, Luisa Verdoliva:
Comprint: Image Forgery Detection and Localization using Compression Fingerprints. CoRR abs/2210.02227 (2022) - [i23]Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
On the detection of synthetic images generated by diffusion models. CoRR abs/2211.00680 (2022) - [i22]Fabrizio Guillaro, Davide Cozzolino, Avneesh Sud, Nicholas Dufour, Luisa Verdoliva:
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization. CoRR abs/2212.10957 (2022) - 2021
- [c30]Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Nießner, Luisa Verdoliva:
SpoC: Spoofing Camera Fingerprints. CVPR Workshops 2021: 990-1000 - [c29]Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, Luisa Verdoliva:
ID-Reveal: Identity-aware DeepFake Video Detection. ICCV 2021: 15088-15097 - [c28]Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Are GAN Generated Images Easy to Detect? A Critical Analysis of the State-Of-The-Art. ICME 2021: 1-6 - [c27]Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Towards Universal GAN Image Detection. VCIP 2021: 1-5 - [i21]Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Are GAN generated images easy to detect? A critical analysis of the state-of-the-art. CoRR abs/2104.02617 (2021) - [i20]Sara Mandelli, Davide Cozzolino, João P. Cardenuto, Daniel Moreira, Paolo Bestagini, Walter J. Scheirer, Anderson Rocha, Luisa Verdoliva, Stefano Tubaro, Edward J. Delp:
Forensic Analysis of Synthetically Generated Scientific Images. CoRR abs/2112.08739 (2021) - [i19]Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Towards Universal GAN Image Detection. CoRR abs/2112.12606 (2021) - 2020
- [j14]Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Combining PRNU and noiseprint for robust and efficient device source identification. EURASIP J. Inf. Secur. 2020: 1 (2020) - [j13]Davide Cozzolino, Luisa Verdoliva, Giuseppe Scarpa, Giovanni Poggi:
Nonlocal CNN SAR Image Despeckling. Remote. Sens. 12(6): 1006 (2020) - [j12]Sara Mandelli, Davide Cozzolino, Paolo Bestagini, Luisa Verdoliva, Stefano Tubaro:
CNN-Based Fast Source Device Identification. IEEE Signal Process. Lett. 27: 1285-1289 (2020) - [j11]Davide Cozzolino, Luisa Verdoliva:
Noiseprint: A CNN-Based Camera Model Fingerprint. IEEE Trans. Inf. Forensics Secur. 15: 144-159 (2020) - [i18]Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Combining PRNU and noiseprint for robust and efficient device source identification. CoRR abs/2001.06440 (2020) - [i17]Sara Mandelli, Davide Cozzolino, Paolo Bestagini, Luisa Verdoliva, Stefano Tubaro:
CNN-based fast source device identification. CoRR abs/2001.11847 (2020) - [i16]Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, Luisa Verdoliva:
ID-Reveal: Identity-aware DeepFake Video Detection. CoRR abs/2012.02512 (2020)
2010 – 2019
- 2019
- [j10]Luca D'Amiano, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
A PatchMatch-Based Dense-Field Algorithm for Video Copy-Move Detection and Localization. IEEE Trans. Circuits Syst. Video Technol. 29(3): 669-682 (2019) - [j9]Sergio Vitale, Davide Cozzolino, Giuseppe Scarpa, Luisa Verdoliva, Giovanni Poggi:
Guided Patchwise Nonlocal SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 57(9): 6484-6498 (2019) - [c26]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Extracting camera-based fingerprints for video forensics. CVPR Workshops 2019: 130-137 - [c25]Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner:
FaceForensics++: Learning to Detect Manipulated Facial Images. ICCV 2019: 1-11 - [c24]Davide Cozzolino, Luisa Verdoliva, Giuseppe Scarpa, Giovanni Poggi:
Nonlocal Sar Image Despeckling by Convolutional Neural Networks. IGARSS 2019: 5117-5120 - [i15]Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner:
FaceForensics++: Learning to Detect Manipulated Facial Images. CoRR abs/1901.08971 (2019) - [i14]Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Nießner, Luisa Verdoliva:
SpoC: Spoofing Camera Fingerprints. CoRR abs/1911.12069 (2019) - 2018
- [j8]Francescopaolo Sica, Davide Cozzolino, Luisa Verdoliva, Giovanni Poggi:
The Offset-Compensated Nonlocal Filtering of Interferometric Phase. Remote. Sens. 10(9): 1359 (2018) - [j7]Francescopaolo Sica, Davide Cozzolino, Xiao Xiang Zhu, Luisa Verdoliva, Giovanni Poggi:
InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration. IEEE Trans. Geosci. Remote. Sens. 56(6): 3456-3467 (2018) - [j6]Giuseppe Scarpa, Sergio Vitale, Davide Cozzolino:
Target-Adaptive CNN-Based Pansharpening. IEEE Trans. Geosci. Remote. Sens. 56(9): 5443-5457 (2018) - [c23]Sara Mandelli, Paolo Bestagini, Stefano Tubaro, Davide Cozzolino, Luisa Verdoliva:
Blind Detection and Localization of Video Temporal Splicing Exploiting Sensor-Based Footprints. EUSIPCO 2018: 1362-1366 - [c22]Davide Cozzolino, Luisa Verdoliva:
Camera-based Image Forgery Localization using Convolutional Neural Networks. EUSIPCO 2018: 1372-1376 - [c21]Francescopaolo Sica, Michele Martone, Muriel Pinheiro, Davide Cozzolino, Pau Prats-Iraola, Giovanni Poggi:
Exploiting Nonlocal Filters for High-Resolution Insar Dem Generation. IGARSS 2018: 2188-2191 - [c20]Francesco Marra, Diego Gragnaniello, Davide Cozzolino, Luisa Verdoliva:
Detection of GAN-Generated Fake Images over Social Networks. MIPR 2018: 384-389 - [i13]Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner:
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces. CoRR abs/1803.09179 (2018) - [i12]Davide Cozzolino, Luisa Verdoliva:
Noiseprint: a CNN-based camera model fingerprint. CoRR abs/1808.08396 (2018) - [i11]Davide Cozzolino, Luisa Verdoliva:
Camera-based Image Forgery Localization using Convolutional Neural Networks. CoRR abs/1808.09714 (2018) - [i10]Sergio Vitale, Davide Cozzolino, Giuseppe Scarpa, Luisa Verdoliva, Giovanni Poggi:
Guided patch-wise nonlocal SAR despeckling. CoRR abs/1811.11872 (2018) - [i9]Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, Luisa Verdoliva:
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection. CoRR abs/1812.02510 (2018) - 2017
- [j5]Luisa Verdoliva, Davide Cozzolino, Giovanni Poggi:
A Reliable Order-Statistics-Based Approximate Nearest Neighbor Search Algorithm. IEEE Trans. Image Process. 26(1): 237-250 (2017) - [c19]Davide Cozzolino, Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
PRNU-Based Forgery Localization in a Blind Scenario. ICIAP (2) 2017: 569-579 - [c18]Patrick Mullan, Davide Cozzolino, Luisa Verdoliva, Christian Riess:
Residual-based forensic comparison of video sequences. ICIP 2017: 1507-1511 - [c17]Davide Cozzolino, Gerardo Di Martino, Giovanni Poggi, Luisa Verdoliva:
A fully convolutional neural network for low-complexity single-stage ship detection in Sentinel-1 SAR images. IGARSS 2017: 886-889 - [c16]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
SAR image despeckling through convolutional neural networks. IGARSS 2017: 5438-5441 - [c15]Raffaele Gaetano, Davide Cozzolino, Luca D'Amiano, Luisa Verdoliva, Giovanni Poggi:
Fusion of sar-optical data for land cover monitoring. IGARSS 2017: 5470-5473 - [c14]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection. IH&MMSec 2017: 159-164 - [c13]Giuseppe Masi, Davide Cozzolino, Luisa Verdoliva, Giuseppe Scarpa:
CNN-based pansharpening of multi-resolution remote-sensing images. JURSE 2017: 1-4 - [c12]Dario D'Avino, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Autoencoder with recurrent neural networks for video forgery detection. Media Watermarking, Security, and Forensics 2017: 92-99 - [i8]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection. CoRR abs/1703.04615 (2017) - [i7]Luca D'Amiano, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
A PatchMatch-based Dense-field Algorithm for Video Copy-Move Detection and Localization. CoRR abs/1703.04636 (2017) - [i6]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
SAR image despeckling through convolutional neural networks. CoRR abs/1704.00275 (2017) - [i5]Dario D'Avino, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Autoencoder with recurrent neural networks for video forgery detection. CoRR abs/1708.08754 (2017) - [i4]Giuseppe Scarpa, Sergio Vitale, Davide Cozzolino:
Target-adaptive CNN-based pansharpening. CoRR abs/1709.06054 (2017) - 2016
- [j4]Giuseppe Masi, Davide Cozzolino, Luisa Verdoliva, Giuseppe Scarpa:
Pansharpening by Convolutional Neural Networks. Remote. Sens. 8(7): 594 (2016) - [c11]Davide Cozzolino, Luisa Verdoliva:
Single-image splicing localization through autoencoder-based anomaly detection. WIFS 2016: 1-6 - 2015
- [j3]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Efficient Dense-Field Copy-Move Forgery Detection. IEEE Trans. Inf. Forensics Secur. 10(11): 2284-2297 (2015) - [c10]Luca D'Amiano, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Video forgery detection and localization based on 3D patchmatch. ICME Workshops 2015: 1-6 - [c9]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Splicebuster: A new blind image splicing detector. WIFS 2015: 1-6 - [i3]Luisa Verdoliva, Davide Cozzolino, Giovanni Poggi:
A reliable order-statistics-based approximate nearest neighbor search algorithm. CoRR abs/1509.03453 (2015) - 2014
- [j2]Davide Cozzolino, Sara Parrilli, Giuseppe Scarpa, Giovanni Poggi, Luisa Verdoliva:
Fast Adaptive Nonlocal SAR Despeckling. IEEE Geosci. Remote. Sens. Lett. 11(2): 524-528 (2014) - [c8]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Guided filtering for PRNU-based localization of small-size image forgeries. ICASSP 2014: 6231-6235 - [c7]Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva:
Image forgery detection through residual-based local descriptors and block-matching. ICIP 2014: 5297-5301 - [c6]Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva:
Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques. ICIP 2014: 5302-5306 - [c5]Francesco Marra, Fabio Roli, Davide Cozzolino, Carlo Sansone, Luisa Verdoliva:
Attacking the triangle test in sensor-based camera identification. ICIP 2014: 5307-5311 - [c4]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Copy-move forgery detection based on PatchMatch. ICIP 2014: 5312-5316 - [c3]Luisa Verdoliva, Davide Cozzolino, Giovanni Poggi:
A feature-based approach for image tampering detection and localization. WIFS 2014: 149-154 - 2013
- [j1]Giovanni Poggi, Davide Cozzolino, Luisa Verdoliva:
Self-organizing maps for the design of multiple description vector quantizers. Neurocomputing 122: 298-309 (2013) - [c2]Davide Cozzolino, Francesco Gargiulo, Carlo Sansone, Luisa Verdoliva:
Multiple Classifier Systems for Image Forgery Detection. ICIAP (2) 2013: 259-268 - [i2]Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva:
A novel framework for image forgery localization. CoRR abs/1311.6932 (2013) - [i1]Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva:
Image forgery detection based on the fusion of machine learning and block-matching methods. CoRR abs/1311.6934 (2013) - 2012
- [c1]Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A Comparative Analysis of Forgery Detection Algorithms. SSPR/SPR 2012: 693-700
Coauthor Index
[j17] [c42] [c41] [c40] [c38] [c37] [i35] [i34] [i33] [i32] [c35] [c33] [i30] [i29] [i27] [c31] [i25] [i23] [c28] [c27] [i21] [i19] [j14] [j13] [i18] [j10] [j9] [c26] [c24] [j8] [j7] [c21] [i10] [j5] [c19] [c17] [c16] [c15] [c14] [c12] [i8] [i7] [i6] [i5] [j3] [c10] [c9] [i3] [j2] [c8] [c4] [c3] [j1] [c1]
[j17] [c42] [c41] [c40] [c39] [c38] [c37] [i35] [i34] [i33] [i32] [i31] [j16] [c36] [c35] [c34] [c33] [i30] [i29] [i28] [i27] [j15] [c32] [c31] [p1] [i26] [i25] [i24] [i23] [i22] [c30] [c29] [c28] [c27] [i21] [i20] [i19] [j14] [j13] [j12] [j11] [i18] [i17] [i16] [j10] [j9] [c26] [c25] [c24] [i15] [i14] [j8] [j7] [c23] [c22] [c20] [i13] [i12] [i11] [i10] [i9] [j5] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i8] [i7] [i6] [i5] [j4] [c11] [j3] [c10] [c9] [i3] [j2] [c8] [c7] [c6] [c5] [c4] [c3] [j1] [c2] [i2] [i1] [c1]
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