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20202026
most citedDeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

20 citations · 179 across the 97 of their papers we have counts for

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14 papers · 1 filter

cs.CR2025

DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection

Kangran Zhao, Yupeng Chen, Xiaoyu Zhang +8

The misuse of advanced generative AI models has resulted in the widespread proliferation of falsified data, particularly forged human-centric audiovisual content, which poses subst…

cs.CV2025

PIA: Deepfake Detection Using Phoneme-Temporal and Identity-Dynamic Analysis

Soumyya Kanti Datta, Tanvi Ranga, Chengzhe Sun +1

The rise of manipulated media has made deepfakes a particularly insidious threat, involving various generative manipulations such as lip-sync modifications, face-swaps, and avatar-…

cs.AI2025

AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models

Zihao Zhu, Xinyu Wu, Gehan Hu +3

Large Reasoning Models (LRMs) have demonstrated remarkable capabilities in complex problem-solving through Chain-of-Thought (CoT) reasoning. However, the multi-step nature of CoT i…

cs.CV2025

Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensics

Yuezun Li, Delong Zhu, Xinjie Cui +1

The rapid advancement of AI technologies has significantly increased the diversity of DeepFake videos circulating online, posing a pressing challenge for \textit{generalizable fore…

cs.LG2025★ 1 cited

Geometric Regularity in Deterministic Sampling Dynamics of Diffusion-based Generative Models

Defang Chen, Zhenyu Zhou, Can Wang +1

Diffusion-based generative models employ stochastic differential equations (SDEs) and their equivalent probability flow ordinary differential equations (ODEs) to establish a smooth…

cs.SD2025★ 13 cited

Forensic deepfake audio detection using segmental speech features

Tianle Yang, Chengzhe Sun, Siwei Lyu +1

This study explores the potential of using acoustic features of segmental speech sounds to detect deepfake audio. These features are highly interpretable because of their close rel…

cs.CV2025

Tamper-evident Image using JPEG Fixed Points

Zhaofeng Si, Siwei Lyu

An intriguing phenomenon about JPEG compression has been observed since two decades ago- after repeating JPEG compression and decompression, it leads to a stable image that does no…

cs.CV2025

Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistencies

Soumyya Kanti Datta, Shan Jia, Siwei Lyu

Deepfakes are AI-generated media in which the original content is digitally altered to create convincing but manipulated images, videos, or audio. Among the various types of deepfa…

cs.CV2025

HOIGPT: Learning Long Sequence Hand-Object Interaction with Language Models

Mingzhen Huang, Fu-Jen Chu, Bugra Tekin +10

We introduce HOIGPT, a token-based generative method that unifies 3D hand-object interactions (HOI) perception and generation, offering the first comprehensive solution for caption…

cs.CV2025

Your Text Encoder Can Be An Object-Level Watermarking Controller

Naresh Kumar Devulapally, Mingzhen Huang, Vishal Asnani +3

Invisible watermarking of AI-generated images can help with copyright protection, enabling detection and identification of AI-generated media. In this work, we present a novel appr…

cs.CV2025

Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges

Qijie Xu, Can Wang, Jiawei Chen +2

Recent advances in visual generative models have enabled the creation of highly realistic, fully AI-generated images without relying on real source content. While beneficial for ma…

cs.CL2025

To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models

Zihao Zhu, Hongbao Zhang, Ruotong Wang +3

Large Reasoning Models (LRMs) are designed to solve complex tasks by generating explicit reasoning traces before producing final answers. However, we reveal a critical vulnerabilit…

eess.AS2025

ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech

Xin Wang, Héctor Delgado, Hemlata Tak +26

ASVspoof 5 is the fifth edition in a series of challenges which promote the study of speech spoofing and deepfake attacks as well as the design of detection solutions. We introduce…

cs.CV2025

DICE: Distilling Classifier-Free Guidance into Text Embeddings

Zhenyu Zhou, Defang Chen, Can Wang +2

Text-to-image diffusion models are capable of generating high-quality images, but suboptimal pre-trained text representations often result in these images failing to align closely…