Dr.Alex
Dr.Alex
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Real-world
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 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)
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
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
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
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
On Adversarial Patches: Real-World Attack on ArcFace-100 Face Recognition System
Two versions of a real-world adversarial attack (nose patch and adversarial glasses) for a top FaceID system - Arcface.
Mikhail Pautov
,
Grigorii Melnikov
,
Edgar Kaziakhmedov
,
Klim Kireev
,
Aleksandr Petiushko Александр Петюшко
PDF
Cite
Source Document
DOI
arXiv
Real-world Attack on MTCNN Face Detection System
Two versions of a real-world adversarial attack (cheek’s patches and medicine mask) for a very efficient MTCNN face detector.
Edgar Kaziakhmedov
,
Klim Kireev
,
Grigorii Melnikov
,
Mikhail Pautov
,
Aleksandr Petiushko Александр Петюшко
PDF
Cite
Code
Source Document
DOI
arXiv
Demo
Adversarial Machine Learning
Light introduction for students about the research problem of Adversarial ML.
Oct 12, 2019 12:00 AM
Lomonosov MSU, Science Festival
Aleksandr Petiushko Александр Петюшко
Slides
Video (In Russian)
In Russian
Cite
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