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)

Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems. - Andrea Stocco 001; Brian Pulfer; Paolo Tonella (CoRR, 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)

Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems. - Andrea Stocco 001; Brian Pulfer; Paolo Tonella (IEEE Trans. Software Eng., 2023)

Model vs system level testing of autonomous driving systems: a replication and extension study. - Andrea Stocco 001; Brian Pulfer; Paolo Tonella (Empir. Softw. Eng., 2023)

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

Assessing the Viability of Synthetic Physical Copy Detection Patterns on Different Imaging Systems. - Roman Chaban; Brian Pulfer; Slava Voloshynovskiy (WIFS, 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)

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)

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)