Computer Vision

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
Neural Tangent Kernel: Introduction
The overview of the Neural Tangent Kernel.
Aug 3, 2021 12:00 AM Summer school on Optimization, Sirius
Aleksandr Petiushko Александр Петюшко
Slides
Neural Tangent Kernel: Introduction
Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
Elegant ways to check the so-called “Manifold Hypothesis” for FaceID using geoemtric (Ninkiwsky-based) and probabilistic approaches.
Alexander Ivanov, Gleb Nosovskiy, Alexey Chekunov, Denis Fedoseev, Vladislav Kibkalo, Mikhail Nikulin, Fedor Popelenskiy, Stepan Komkov, Ivan Mazurenko, Aleksandr Petiushko Александр Петюшко
PDF Cite DOI arXiv
Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
Darker than Black-Box: Face Reconstruction from Similarity Queries
Reconstruction of a face embedding using only similarity score from FaceID system.
Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko Александр Петюшко
PDF Cite Code DOI arXiv
Darker than Black-Box: Face Reconstruction from Similarity Queries
MDMMT: Multidomain Multimodal Transformer for Video Retrieval
A State-of-the-Art Video Retrieval Method.
Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko Александр Петюшко
PDF Cite Code Slides Video Source Document DOI arXiv WorkshopWeb
MDMMT: Multidomain Multimodal Transformer for Video Retrieval
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
CNN Adversarial Robustness in the Real World
A holistic overview of Adversarial Robustness, including digital and real world, mostly for the face detection and identification.
Apr 15, 2021 12:00 AM Lobachevsky University
Aleksandr Petiushko Александр Петюшко
Slides Talk Interview In Russian
CNN Adversarial Robustness in the Real World
CNN Robustness research: Application to face detectors and face ID systems
A short overview of Adversarial Robustness, in both digital and real world, explicitly for the face detection and identification.
Feb 4, 2021 12:00 AM OpentTalks.AI 2021
Aleksandr Petiushko Александр Петюшко
Slides Slides (In Russian)
CNN Robustness research: Application to face detectors and face ID systems
AdvHat: Real-World Adversarial Attack on ArcFace Face ID System
A practical approach to generate forehand printed patch to fool the best FaceID system - Arcface - in real world.
Stepan Komkov, Aleksandr Petiushko Александр Петюшко
PDF Cite Code Poster Slides Video Source Document DOI arXiv Demo
AdvHat: Real-World Adversarial Attack on ArcFace Face ID System
Robustness Threats of Differential Privacy
Surprising empirical observation showing how Differential Privacy hurts Adversarial Robustness.
Nurislam Tursynbek, Aleksandr Petiushko Александр Петюшко, Ivan Oseledets
PDF Cite arXiv Conf WorkshopWeb
Robustness Threats of Differential Privacy