Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization. - Mikita Sazanovich; Anastasiya Nikolskaya; Yury Belousov 001; Aleksei Shpilman (NeurIPS (Competition and Demos), 2020)

Findings of the Second AmericasNLP Competition on Speech-to-Text Translation. - Abteen Ebrahimi; Manuel Mager; Adam Wiemerslage; Pavel Denisov; Arturo Oncevay; Danni Liu; Sai Koneru; Enes Yavuz Ugan; Zhaolin Li; Jan Niehues; Monica Romero; Iván G. Torre; et al. (NeurIPS (Competition and Demos), 2021)

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. - Aleksandra Gruca; Federico Serva; Llorenç Lliso; Pilar Rípodas; Xavier Calbet; Pedro Herruzo; Jirí Pihrt; Rudolf Raevskiy; Petr Simánek; Matej Choma; Yang Li; Haiyu Dong; et al. (NeurIPS (Competition and Demos), 2021)

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. - Anssi Kanervisto; Stephanie Milani; Karolis Ramanauskas; Nicholay Topin; Zichuan Lin; Junyou Li; Jianing Shi; Deheng Ye; Qiang Fu 016; Wei Yang 032; Weijun Hong; Zhongyue Huang; et al. (NeurIPS (Competition and Demos), 2021)

Authentication Of Copy Detection Patterns Under Machine Learning Attacks: A Supervised Approach. - Brian Pulfer; Roman Chaban; Yury Belousov 001; Joakim Tutt; Olga Taran; Taras Holotyak; Svyatoslav Voloshynovskiy (ICIP, 2022)

Digital twins of physical printing-imaging channel. - Yury Belousov 001; Brian Pulfer; Roman Chaban; Joakim Tutt; Olga Taran; Taras Holotyak; Slava Voloshynovskiy (WIFS, 2022)

Printing variability of copy detection patterns. - Roman Chaban; Olga Taran; Joakim Tutt; Yury Belousov 001; Brian Pulfer; Taras Holotyak; Slava Voloshynovskiy (WIFS, 2022)

Anomaly localization for copy detection patterns through print estimations. - Brian Pulfer; Yury Belousov 001; Joakim Tutt; Roman Chaban; Olga Taran; Taras Holotyak; Slava Voloshynovskiy (WIFS, 2022)

Mathematical model of printing-imaging channel for blind detection of fake copy detection patterns. - Joakim Tutt; Olga Taran; Roman Chaban; Brian Pulfer; Yury Belousov 001; Taras Holotyak; Slava Voloshynovskiy (WIFS, 2022)

Solving the Weather4cast Challenge via Visual Transformers for 3D Images. - Yury Belousov 001; Sergey Polezhaev; Brian Pulfer (CoRR, 2022)

Stochastic Digital Twin for Copy Detection Patterns. - Yury Belousov 001; Olga Taran; Vitaliy Kinakh; Slava Voloshynovskiy (WIFS, 2023)

TURBO: The Swiss Knife of Auto-Encoders. - Guillaume Quétant; Yury Belousov 001; Vitaliy Kinakh; Slava Voloshynovskiy (Entropy, 2023)

Robustness Tokens: Towards Adversarial Robustness of Transformers. - Brian Pulfer; Yury Belousov 001; Slava Voloshynovskiy (ECCV (59), 2024)

Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks. - Vitaliy Kinakh; Brian Pulfer; Yury Belousov 001; Pierre Fernandez; Teddy Furon; Slava Voloshynovskiy (WIFS, 2024)

Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition. - Mariia Drozdova; Vitaliy Kinakh; Yury Belousov 001; Erica Lastufka; Slava Voloshynovskiy (CoRR, 2024)

A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications With Copy Detection Patterns. - Yury Belousov 001; Guillaume Quétant; Brian Pulfer; Roman Chaban; Joakim Tutt; Olga Taran; Taras Holotyak; Slava Voloshynovskiy (IEEE Trans. Inf. Forensics Secur., 2024)

Authentication of Copy Detection Patterns: A Pattern Reliability Based Approach. - Joakim Tutt; Olga Taran; Roman Chaban; Brian Pulfer; Yury Belousov 001; Taras Holotyak; Slava Voloshynovskiy (IEEE Trans. Inf. Forensics Secur., 2024)

Hubble Meets Webb: Image-to-Image Translation in Astronomy. - Vitaliy Kinakh; Yury Belousov 001; Guillaume Quétant; Mariia Drozdova; Taras Holotyak; Daniel Schaerer; Slava Voloshynovskiy (Sensors, 2024)

Task-Agnostic Attacks Against Vision Foundation Models. - Brian Pulfer; Yury Belousov 001; Vitaliy Kinakh; Teddy Furon; Slava Voloshynovskiy (CVPR Workshops, 2025)

Beyond Classification: Evaluating Diffusion Denoised Smoothing for Security-Utility Trade off. - Yury Belousov 001; Brian Pulfer; Vitaliy Kinakh; Slava Voloshynovskiy (CoRR, 2025)