3 citations · 5 across the 2 of their papers we have counts for
4 papers
Robustness Threats of Differential Privacy
Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets
Differential privacy (DP) is a gold-standard concept of measuring and guaranteeing privacy in data analysis. It is well-known that the cost of adding DP to deep learning model is i…
Adversarial Turing Patterns from Cellular Automata
Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva +1
State-of-the-art deep classifiers are intriguingly vulnerable to universal adversarial perturbations: single disturbances of small magnitude that lead to misclassification of most…
Black-Box Face Recovery from Identity Features
Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov +2
In this work, we present a novel algorithm based on an it-erative sampling of random Gaussian blobs for black-box face recovery, given only an output feature vector of deep face re…
Follow the bisector: a simple method for multi-objective optimization
Alexandr Katrutsa, Daniil Merkulov, Nurislam Tursynbek +1
This study presents a novel Equiangular Direction Method (EDM) to solve a multi-objective optimization problem. We consider optimization problems, where multiple differentiable los…