Investigación
Avanzando en la ciencia de la confianza en la IA
Nuestra investigación se centra en la detección de deepfakes, el análisis forense de medios sintéticos y la robustez ante ataques adversarios. Publicamos nuestros hallazgos para hacer avanzar el campo y mantener a nuestros clientes un paso por delante de las amenazas emergentes.
13
Artículos de investigación
5
Áreas de investigación
7
Conjuntos de datos abiertos
3
Próximamente
Publicaciones e informes
Investigación del equipo de Scam AI sobre detección de deepfakes, falsificación de documentos, estimación de edad y más.
Document Forgery
- DOCFORGE-BENCH: A Comprehensive Benchmark for Document Forgery Detection and Analysis
Zengqi Zhao, Weidi Xia, Peter Wei, Yan Zhang, Yiyi Zhang, Jane Mo, Tiannan Zhang, Yuanqin Dai, Zexi Chen, Simiao Ren
Ver en arXiv - When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents
Jiaqi Wu, Yuchen Zhou, Dennis Tsang Ng, Xingyu Shen, Kidus Zewde, Ankit Raj, Tommy Duong, Simiao Ren
Ver en arXiv - AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents
Jiaqi Wu, Yuchen Zhou, Muduo Xu, Zisheng Liang, Simiao Ren, Jiayu Xue, Meige Yang, Siying Chen, Jingheng Huan
Ver en arXiv - Can Multi-modal (reasoning) LLMs detect document manipulation?
Zisheng Liang, Kidus Zewde, Rudra Pratap Singh, Disha Patil, Zexi Chen, Jiayu Xue, Yao Yao, Yifei Chen, Qinzhe Liu, Simiao Ren
Ver en Scholar
Age Estimation
- Can a Teenager Fool an AI? Evaluating Low-Cost Cosmetic Attacks on Age Estimation Systems
Xingyu Shen, Tommy Duong, Xiaodong An, Zengqi Zhao, Zebang Hu, Haoyu Hu, Ziyou Wang, Finn Guo, Simiao Ren
Ver en arXiv - Out of the box age estimation through facial imagery: A Comprehensive Benchmark of Vision-Language Models vs. out-of-the-box Traditional Architectures
Simiao Ren, Xingyu Shen, Ankit Raj, Albert Dai, Caroline Zhang, Yuan Xu, Zexi Chen, Siqi Wu, Chen Gong, Yuxin Zhang
Ver en arXiv
AI-Generated Detection
- GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment
Kidus Zewde, Simiao Ren, Xingyu Shen, Jenny Wu, Yuchen Zhou, Tommy Duong, Zikang Zhang, Ethan Traister
Ver en arXiv - How well are open sourced AI-generated image detection models out-of-the-box: A comprehensive benchmark study
Simiao Ren, Yuchen Zhou, Xingyu Shen, Kidus Zewde, Tommy Duong, George Huang, Neo Tiangratanakul, Dennis Ng, En Wei, Jiayu Xue
Ver en arXiv
Deepfake Detection
- Do deepfake detectors work in reality?
Simiao Ren, Disha Patil, Kidus Zewde, Dennis Ng, Hengwei Xu, Shengkai Jiang, Ramini Desai, Ning-Yau Cheng, Yining Zhou, Ragavi Muthukrishnan
Ver en Scholar - Can Multi-modal (reasoning) LLMs work as deepfake detectors?
Simiao Ren, Yao Yao, Kidus Zewde, Zisheng Liang, Ning-Yau Cheng, Xiaoou Zhan, Qinzhe Liu, Yifei Chen, Hengwei Xu
Ver en Scholar
Interview Tech
Conjuntos de datos
Conjuntos de datos curados para ayudar a los investigadores a evaluar modelos de detección. Cada conjunto de datos tiene su propia página con la cita, el enlace al artículo y una descarga protegida por correo electrónico.
A real-world faceswap collection used to evaluate deepfake detectors against in-the-wild manipulations rather than lab-only synthetics.
Financial and form documents tampered by a suite of AI editing tools, paired with originals — used to benchmark document forgery detectors.
A v2 expansion of AIForge-Doc covering GPT-Image-2 generated tampering — used in the 'When the Forger Is the Judge' benchmark.
Self-reported AI-generated images collected from Twitter during the first week of GPT-Image-2 deployment — captures real-world distribution shift.
Faces with low-cost cosmetic adversarial perturbations designed to defeat age estimation systems — used in 'Can a Teenager Fool an AI?'.
Fully synthetic receipts generated by GPT-4o, paired with a human-study evaluation of detectability — used for AI-generated document forensics research.
Synthetic eye-movement trajectories rendered through a 3D eye simulator, replaying real reading paths — used for script reading detection research.
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