Image Transformations

Certified Robustness: Fundamentals and Challenges
Overview of classical and State-of-the-Art approaches to certify ML models’ robustness.
Jan 24, 2023 6:00 PM NTR LABS Webinars
Aleksandr Petiushko Александр Петюшко
Slides Video
Certified Robustness: Fundamentals and Challenges
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
A novel method of certified robustness using Rayleigh dostribution for smoothing when transformations consist not additive but multiplicative group.
Nikita Muravev, Aleksandr Petiushko Александр Петюшко
PDF Cite Video Source Document DOI arXiv
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
A theoretical approach to estimate the certified robustness tested on different image transformations.
Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko Александр Петюшко, Ivan Oseledets
PDF Cite Poster Source Document DOI arXiv
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
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
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