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Vladislav Skripniuk

2 accepted papers

2022

Responsible Disclosure of Generative Models Using Scalable Fingerprinting

ICLR 2022spotlight

Over the past years, deep generative models have achieved a new level of performance. Generated data has become difficult, if not impossible, to be distinguished from real data. While there are plenty of use cases that benefit from this technology, there are also strong concerns on how this new tech…

2021

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

ICCV 2021poster

Photorealistic image generation has reached a new level of quality due to the breakthroughs of generative adversarial networks (GANs). Yet, the dark side of such deepfakes, the malicious use of generated media, raises concerns about visual misinformation. While existing research work on deepfake det…

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