Copertina

Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Vilesov, Alexander, Tian, Yuan, Sehatbakhsh, Nader, Kadambi, Achuta
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models
di: Khalili, Hossein, et al.
Pubblicazione: (2024)

SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
di: Khalili, Hossein, et al.
Pubblicazione: (2025)

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
di: Yuan, Shuaiwei, et al.
Pubblicazione: (2025)

How Generalizable are Deepfake Image Detectors? An Empirical Study
di: Li, Boquan, et al.
Pubblicazione: (2023)

Deepfake detection in videos with multiple faces using geometric-fakeness features
di: Vyshegorodtsev, Kirill, et al.
Pubblicazione: (2024)

Can't Slow me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
di: Wang, Tianyi, et al.
Pubblicazione: (2024)

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
di: Chung, Yunsung, et al.
Pubblicazione: (2025)

Secure Data Access in Cloud Environments Using Quantum Cryptography
di: Lakshmi, S. Vasavi Venkata, et al.
Pubblicazione: (2025)

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
di: Zhou, Yuxuan, et al.
Pubblicazione: (2025)

Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
di: Cui, Qi, et al.
Pubblicazione: (2024)

CamPro: Camera-based Anti-Facial Recognition
di: Zhu, Wenjun, et al.
Pubblicazione: (2023)

Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
di: Liang, Ziyou, et al.
Pubblicazione: (2024)

DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
di: Zhao, Kangran, et al.
Pubblicazione: (2025)

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
di: Pinhasov, Ben, et al.
Pubblicazione: (2024)

Combating Digitally Altered Images: Deepfake Detection
di: Kumar, Saksham, et al.
Pubblicazione: (2025)

GOTCHA: Real-Time Video Deepfake Detection via Challenge-Response
di: Mittal, Govind, et al.
Pubblicazione: (2022)

Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces
di: Hu, Juan, et al.
Pubblicazione: (2024)

Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
di: Nguyen-Le, Hong-Hanh, et al.
Pubblicazione: (2024)

Addressing Deepfake Issue in Selfie banking through camera based authentication
di: Mukherjee, Subhrojyoti, et al.
Pubblicazione: (2025)

Reduced Spatial Dependency for More General Video-level Deepfake Detection
di: Chu, Beilin, et al.
Pubblicazione: (2025)

An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers
di: Gong, Xueluan, et al.
Pubblicazione: (2024)

DeiTFake: Deepfake Detection Model using DeiT Multi-Stage Training
di: Kumar, Saksham, et al.
Pubblicazione: (2025)

FRIDAY: Mitigating Unintentional Facial Identity in Deepfake Detectors Guided by Facial Recognizers
di: Kim, Younhun, et al.
Pubblicazione: (2024)

One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks
di: Guo, Ji, et al.
Pubblicazione: (2024)

Shaking the Fake: Detecting Deepfake Videos in Real Time via Active Probes
di: Xie, Zhixin, et al.
Pubblicazione: (2024)

Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
di: Li, Ziqiang, et al.
Pubblicazione: (2023)

Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory?
di: Aerni, Michael, et al.
Pubblicazione: (2025)

Privacy-Aware Federated nnU-Net for ECG Page Digitization
di: Nemati, Nader
Pubblicazione: (2025)

Deepfake detectors are DUMB: A benchmark to assess adversarial training robustness under transferability constraints
di: Serrano, Adrian, et al.
Pubblicazione: (2026)

Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees
di: Ali, Mohammed Himayath, et al.
Pubblicazione: (2026)

An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
di: Abdullah, Sifat Muhammad, et al.
Pubblicazione: (2024)

FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection
di: Zhang, Yangxiang, et al.
Pubblicazione: (2024)

Intrusion Detection: A Deep Learning Approach
di: Shivhare, Ishaan, et al.
Pubblicazione: (2023)

Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
di: Liu, Chi, et al.
Pubblicazione: (2025)

Modeling Electromagnetic Signal Injection Attacks on Camera-based Smart Systems: Applications and Mitigation
di: Zhang, Youqian, et al.
Pubblicazione: (2024)

Blind Deep-Learning-Based Image Watermarking Robust Against Geometric Transformations
di: Mareen, Hannes, et al.
Pubblicazione: (2024)

Towards A Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models
di: Thietke, Jonas, et al.
Pubblicazione: (2025)

Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior
di: Yu, Yi, et al.
Pubblicazione: (2024)

Token-Level Constraint Boundary Search for Jailbreaking Text-to-Image Models
di: Liu, Jiangtao, et al.
Pubblicazione: (2025)

Optical Lens Attack on Deep Learning Based Monocular Depth Estimation
di: Zhou, Ce, et al.
Pubblicazione: (2024)