publications
2024
Improving Interpretability and Robustness for the Detection of AI-Generated Images
Tatiana Gaintseva, Laida Kushnareva, German Magai, Irina Piontkovskaya, Sergey Nikolenko, Martin Benning, Serguei Barannikov, Gregory Slabaugh
arxiv preprint
[paper]
Tatiana Gaintseva, Laida Kushnareva, German Magai, Irina Piontkovskaya, Sergey Nikolenko, Martin Benning, Serguei Barannikov, Gregory Slabaugh
arxiv preprint
[paper]
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement
Tatiana Gaintseva, Martin Benning, Gregory Slabaugh
In ECCV 2024
[paper, project page, GitHub]
Tatiana Gaintseva, Martin Benning, Gregory Slabaugh
In ECCV 2024
[paper, project page, GitHub]
AI-generated text boundary detection with RoFT
Laida Kushnareva, Tatiana Gaintseva, German Magai, Serguei Barannikov, Dmitry Abulkhanov, Kristian Kuznetsov, Eduard Tulchinskii, Irina Piontkovskaya, Sergey Nikolenko
In COLM 2024, Outstanding Paper Award
[paper, GitHub]
Laida Kushnareva, Tatiana Gaintseva, German Magai, Serguei Barannikov, Dmitry Abulkhanov, Kristian Kuznetsov, Eduard Tulchinskii, Irina Piontkovskaya, Sergey Nikolenko
In COLM 2024, Outstanding Paper Award
[paper, GitHub]
2020
Adaptive divergence for rapid adversarial optimization
Maxim Borisyak, Tatiana Gaintseva, and Andrey Ustyuzhanin
In PeerJ Computer Science, 6, e274. 2020
[paper]
Maxim Borisyak, Tatiana Gaintseva, and Andrey Ustyuzhanin
In PeerJ Computer Science, 6, e274. 2020
[paper]