Certified Robustness

Certified Robustness: Fundamentals and Challenges
Overview of classical and State-of-the-Art approaches to certify ML models’ robustness.
Jan 24, 2023 6:00 PM NTR LABS Webinars
Aleksandr Petiushko Александр Петюшко
Slides Video
Certified Robustness: Fundamentals and Challenges
Smoothed Embeddings for Certified Few-Shot Learning
Geometrical approach for certified few-shot learning via randomized smoothing of templates.
Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko Александр Петюшко, Ivan Oseledets
PDF Cite Poster Slides Source Document arXiv OpenReview Conf
Smoothed Embeddings for Certified Few-Shot Learning
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
A novel method of certified robustness using Rayleigh dostribution for smoothing when transformations consist not additive but multiplicative group.
Nikita Muravev, Aleksandr Petiushko Александр Петюшко
PDF Cite Video Source Document DOI arXiv
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
A theoretical approach to estimate the certified robustness tested on different image transformations.
Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko Александр Петюшко, Ivan Oseledets
PDF Cite Poster Source Document DOI arXiv
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
Certified Robustness, High Dimensions and Computer Vision
Challenges of Certified Robustness in Computer Vision connected with high dimensionality.
Oct 29, 2021 12:00 AM SAMPLE
Aleksandr Petiushko Александр Петюшко
Slides
Certified Robustness, High Dimensions and Computer Vision
Certified Robustness in High Dimensions
The overview of certified robustness problems in high dimensions.
Apr 29, 2021 12:00 AM SkolTech
Aleksandr Petiushko Александр Петюшко
Slides
Certified Robustness in High Dimensions
Adversarial and Certified Robustness
Analysis of both empirical and theoretical approaches to study Adversarial Robustness (Adversarial Attacks, Certified Robustness)
Sep 20, 2020 12:00 AM ODS DataFest 2020
Aleksandr Petiushko Александр Петюшко
Slides
Adversarial and Certified Robustness
Certified Robustness for modern NN
The overview of certified robustness problems.
May 24, 2020 12:00 AM HSE/SkolTech, Statistical Learning Olympiad
Aleksandr Petiushko Александр Петюшко
Slides
Certified Robustness for modern NN