Adversarial Attack

CNN Robustness Research. The Theory
A post about the Convolution Neural Networks, their brittleness w.r.t. adversarial attacks, and the theory behind it.
Aleksandr Petiushko Александр Петюшко
Aug 12, 2020 1 min read In Russian
CNN Robustness Research. The Theory
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
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
On Adversarial Patches: Real-World Attack on ArcFace-100 Face Recognition System
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
Real-world Attack on MTCNN Face Detection System
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
Adversarial Machine Learning