1.2k citations · 1.8k across the 11 of their papers we have counts for
11 papers
My Art My Choice: Adversarial Protection Against Unruly AI
Anthony Rhodes, Ram Bhagat, Umur Aybars Ciftci +1
Generative AI is on the rise, enabling everyone to produce realistic content via publicly available interfaces. Especially for guided image generation, diffusion models are changin…
How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection
Umur Aybars Ciftci, Ilke Demir
With the proliferation of deep generative models, deepfakes are improving in quality and quantity everyday. However, there are subtle authenticity signals in pristine videos, not r…
My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization
Umur A. Ciftci, Gokturk Yuksek, Ilke Demir
Recently, productization of face recognition and identification algorithms have become the most controversial topic about ethical AI. As new policies around digital identities are…
MixSyn: Learning Composition and Style for Multi-Source Image Synthesis
Ilke Demir, Umur A. Ciftci
Synthetic images created by generative models increase in quality and expressiveness as newer models utilize larger datasets and novel architectures. Although this photorealism is…
Where Do Deep Fakes Look? Synthetic Face Detection via Gaze Tracking
Ilke Demir, Umur A. Ciftci
Following the recent initiatives for the democratization of AI, deep fake generators have become increasingly popular and accessible, causing dystopian scenarios towards social ero…
How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
Umur Aybars Ciftci, Ilke Demir, Lijun Yin
Fake portrait video generation techniques have been posing a new threat to the society with photorealistic deep fakes for political propaganda, celebrity imitation, forged evidence…
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding
Ilke Demir, Camilla Hahn, Kathryn Leonard +7
We present SkelNetOn 2019 Challenge and Deep Learning for Geometric Shape Understanding workshop to utilize existing and develop novel deep learning architectures for shape underst…
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
Umur Aybars Ciftci, Ilke Demir
The recent proliferation of fake portrait videos poses direct threats on society, law, and privacy. Believing the fake video of a politician, distributing fake pornographic content…
Addressing the Invisible: Street Address Generation for Developing Countries with Deep Learning
Ilke Demir, Ramesh Raskar
More than half of the world's roads lack adequate street addressing systems. Lack of addresses is even more visible in daily lives of people in developing countries. We would like…
Guided Proceduralization: Optimizing Geometry Processing and Grammar Extraction for Architectural Models
Ilke Demir, Daniel G. Aliaga
We describe a guided proceduralization framework that optimizes geometry processing on architectural input models to extract target grammars. We aim to provide efficient artistic w…
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
Ilke Demir, Krzysztof Koperski, David Lindenbaum +6
We present the DeepGlobe 2018 Satellite Image Understanding Challenge, which includes three public competitions for segmentation, detection, and classification tasks on satellite i…