Aleksandr Petiushko

According to our database1, Aleksandr Petiushko authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multi-Constraint Safe RL with Objective Suppression for Safety-Critical Applications.
CoRR, 2024

2022
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks.
CoRR, 2022

Geometry-Inspired Top-k Adversarial Perturbations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Smoothed Embeddings for Certified Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Quadric Hypersurface Intersection for Manifold Learning in Feature Space.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021.
CoRR, 2021

Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation.
CoRR, 2021

Certified Robustness via Randomized Smoothing over Multiplicative Parameters.
CoRR, 2021

Darker than Black-Box: Face Reconstruction from Similarity Queries.
CoRR, 2021

MDMMT: Multidomain Multimodal Transformer for Video Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Robustness Threats of Differential Privacy.
CoRR, 2020

Mutual Modality Learning for Video Action Classification.
CoRR, 2020

AdvHat: Real-World Adversarial Attack on ArcFace Face ID System.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Black-Box Face Recovery from Identity Features.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
On adversarial patches: real-world attack on ArcFace-100 face recognition system.
CoRR, 2019

Real-world attack on MTCNN face detection system.
CoRR, 2019


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