DFF@MM - researchr conference series publications

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Viewing Publication 1 - 19 from 19

2025

CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly DetectionZhipeng Yuan 0003, Kai Wang 0002, Weize Quan, Dong-Ming Yan 0001, Tieru Wu. dff 2025: 3-11 [doi]

VAD-Lip: Visual and Audio Deepfake Detection via Lip FeaturesJinyu Wang 0007, Xin Jin 0015, Huaye Wang, Longteng Jiang. dff 2025: 110-117 [doi]

AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion EraChenyang Zhu 0010, Xing Zhang, Yuyang Sun, Ching-Chun Chang, Isao Echizen. dff 2025: 45-54 [doi]

MGGA: Universal Perturbations against Deepfake via Multiple Model-based Gradient-Guided Feature Layer AttackZhi Cao 0012, Zhongyuan Wang 0001, Run Wang, Yuhong Yang 0001, Feng Tian 0006, Gang Wu 0010, Atsushi Suzuki. dff 2025: 73-82 [doi]

Adversarial Reality for Frame-based Deepfake DetectorsUmur Aybars Ciftci, Nicholas Solar, Emily Greene, Anthony Rhodes, Ilke Demir. dff 2025: 118-127 [doi]

Multimodal Deepfake Detection Across Cultures and LanguagesAbhinav Dhall. dff 2025: 83 [doi]

Multimodal Large Models for Image Tampering Detection and Explanation: From Detection to ReasoningChenfeng Du, Yuchen Li, Heng Huang 0002, Xin Jin 0015, Xianglong Zeng. dff 2025: 135-141 [doi]

Proceedings of the 1st on Deepfake Forensics Workshop: Detection, Attribution, Recognition, and Adversarial Challenges in the Era of AI-Generated Media, DFF 2025, Dublin, Ireland, October 27-28, 2025Luca Guarnera, Francesco Guarnera, Sebastiano Battiato, Giovanni Puglisi, Zahid Akhtar, editors, ACM, 2025. [doi]

Morphing Resilient Face Recognition by Informed Frequency SelectionMarco Huber, Anh Thi Luu, Naser Damer. dff 2025: 55-64 [doi]

REVEAL: A Retrieval-Augmented Generation Approach for Contextual Identification of Synthetic Visual ContentMamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene, Abdelmalik Taleb-Ahmed, Abdenour Hadid. dff 2025: 12-20 [doi]

Visual Quality Improved Watermarking based on Dual-Reference Loss for Deepfake AttributionQiushi Li, Stefano Berretti, Roberto Caldelli. dff 2025: 128-134 [doi]

Facial Deepfake Detection: Five Years of Research Efforts and the FF4ALL-SERICS ExperienceGian Luca Marcialis. dff 2025: 1-2 [doi]

How Well Do Simple Features Detect Fake Faces? A Comparison with Deep LearningGiuseppe Mazzola, Liliana Lo Presti, Marco La Cascia. dff 2025: 37-44 [doi]

Bridging the Gap: A Framework for Real-World Video Deepfake Detection via Social Network Compression EmulationAndrea Montibeller, Dasara Shullani, Daniele Baracchi, Alessandro Piva, Giulia Boato. dff 2025: 29-36 [doi]

No Detector to Rule Them AllAlan Perotti, Marco Nurisso, Mirko Zaffaroni. dff 2025: 65-72 [doi]

Towards Reliable Audio Deepfake Attribution and Model Recognition: A Multi-Level Autoencoder-Based FrameworkAndrea Di Pierno, Luca Guarnera, Dario Allegra, Sebastiano Battiato. dff 2025: 101-109 [doi]

What if Retrieval Could Work Before Decoding? The case of JPEG AI Latents for Deepfake Source AttributionClaudio Vittorio Ragaglia, Lorenzo Catania, Francesco Guarnera, Dario Allegra, Sebastiano Battiato. dff 2025: 21-28 [doi]

SASDN: A Generalizable and Minimal-Intervention LLM-Integrated Framework for Continual Adaptation in Spoofed Speech DetectionUtkarsh Venaik, Akash Kushwaha, Nabeel Koya A, Rajiv Ratn Shah. dff 2025: 93-100 [doi]

Learning to Fuse: A Gated Multi-Stream Framework for Generalized Audio Deepfake DetectionTaiba Majid Wani, Irene Amerini. dff 2025: 84-92 [doi]

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