Adversarial Attack

Geometry-Inspired Top-K Adversarial Perturbations
A simple geometrical approach for crafting top-k adversarial perturbations.
Nurislam Tursynbek, Aleksandr Petiushko Александр Петюшко, Ivan Oseledets
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Geometry-Inspired Top-K Adversarial Perturbations
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
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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
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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
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Robustness Threats of Differential Privacy
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
CNN Adversarial Robustness. The Theory (digital adversaries)
A post about the Convolution Neural Networks, their brittleness w.r.t. adversarial attacks in the digital domain, and the theory behind it.
Aleksandr Petiushko Александр Петюшко
Nov 8, 2020 1 min read
CNN Adversarial Robustness. The Theory (digital adversaries)
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
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