Info
Adversarial Multimedia Forensics / / edited by Ehsan Nowroozi, Kassem Kallas, Alireza Jolfaei
| Adversarial Multimedia Forensics / / edited by Ehsan Nowroozi, Kassem Kallas, Alireza Jolfaei |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (298 pages) |
| Disciplina | 005.8 |
| Collana | Advances in Information Security |
| Soggetto topico |
Machine learning
Image processing - Digital techniques Computer vision Computer crimes Signal processing Artificial intelligence Machine Learning Computer Imaging, Vision, Pattern Recognition and Graphics Computer Crime Signal, Speech and Image Processing Artificial Intelligence |
| ISBN | 3-031-49803-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter. 1. Model Poisoning Attack against Federated Learning with Adaptive Aggregation -- Chapter. 2. Image Forgery Detection using Comprint: A Comprehensive Study -- Chapter. 3. Good or evil: Generative adversarial networks in digital forensics -- Chapter. 4. Refined GAN-Based Attack Against Image Splicing Detection and Localization Algorithms -- Chapter. 5. Generative Adversarial networks for Artificial Satellite Image Creation and Manipulation -- Chapter. 6. Domain Specific Information based learning for Facial Image Forensics -- Chapter. 7. Linguistic Steganography and Linguistic Steganalysis -- Chapter. 8. Random Deep Feature Selection’s Efficiency in Securing Image Manipulation Detectors Opposed by Adversarial Attacks -- Chapter. 9. Optimized Distribution for Robust Watermarking of Deep neural Networks through Fixed Embedding Weights -- Chapter. 10. Anti Forensic Measures and Their Impact on Forensic Investigations -- Chapter. 11. Using Vocoder Artifacts for Audio Deepfakes Detection. |
| Record Nr. | UNINA-9910842298403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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IInformation fusion in distributed sensor networks with Byzantines / / Andrea Abrardo [et al.]
| IInformation fusion in distributed sensor networks with Byzantines / / Andrea Abrardo [et al.] |
| Autore | Abrardo Andrea |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 109 p. 26 illus., 15 illus. in color.) |
| Disciplina | 006.25 |
| Collana | Signals and Communication Technology |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Computer security System safety |
| ISBN | 981-329-001-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Preliminaries -- Security attacks and defenses in distributed sensor networks -- A Heuristic defense: A soft isolation algorithm for adversarial decision fusion -- Optimum decision fusion in the presence of Byzantines -- Nearly optimum decision fusion via message passing -- Decision fusion of hidden-Markov observations with synchronized attacks -- Decision fusion with unbalanced priors -- Decision fusion game with incomplete knowledge in a Bayesian setup -- Conclusions. |
| Record Nr. | UNINA-9910484226603321 |
Abrardo Andrea
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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