FaceID

Quadric Hypersurface Intersection for Manifold Learning in Feature Space
A novel approach to use the so-called “Manifold Hypothesis” in order to solve the outlier detection problem by quadrics on top of FaceID embeddings.
Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko Александр Петюшко
PDF Cite Code Video Source Document arXiv
Quadric Hypersurface Intersection for Manifold Learning in Feature Space
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
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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
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
CNN Robustness research. Application to face detectors and face ID systems
A short overview of Adversarial Robustness concentrated around the theoretic aspects.
Dec 1, 2020 12:00 AM Huawei Workshop on DL Theory
Aleksandr Petiushko Александр Петюшко
Black-Box Face Recovery from Identity Features
Reconstruction of face using only similarity and norm of the embedding of a blac-box FaceID system.
Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko Александр Петюшко
PDF Cite Code Slides Video Source Document DOI arXiv WorkshopWeb
Black-Box Face Recovery from Identity Features
Application of Adversarial Machine Learning to Analyze the NN Robustness in the Real World
Effect of Adversarial ML on Real-World Robustness for Computer Vision (face detection and identification).
Jun 26, 2020 12:00 AM Spice IT Meetup
Aleksandr Petiushko Александр Петюшко
Slides Video In Russian
Application of Adversarial Machine Learning to Analyze the NN Robustness in the Real World
Adversarial Machine Learning in Real World
Analysis of Adversarial ML for Real-World Applications.
May 29, 2020 12:00 AM SPbSU Chebyshev Seminars
Aleksandr Petiushko Александр Петюшко
Slides Video In Russian
Adversarial Machine Learning in Real World