Aleksandr Petiushko
8 papers · 2022–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(26)
🐣
Hot Topic Early Bird
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Core Methods
(4)
Deep Learning
(3)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Bayesian & Probabilistic
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
randomized smoothing
(2)
adversarial robustness
(2)
certified robustness
(2)
manifold learning
(1)
nonparametric estimation
(1)
uncertainty quantification
(1)
adversarial optimization
(1)
autonomous driving
(1)
outlier detection
(1)
feature space
(1)
markov logic network
(1)
first-order logic
(1)
multi-objective optimization
(1)
diffusion model
(1)
probabilistic graphical model
(1)
epistemic uncertainty
(1)
probabilistic modeling
(1)
adversarial perturbation
(1)
metric space
(1)
few-shot learning
(1)
Papers
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
AAAI 2025
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
ICML 2025
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks
AAAI 2022
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
IJCAI 2022
Geometry-Inspired Top-K Adversarial Perturbations
WACV 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
NeurIPS 2022
Quadric Hypersurface Intersection for Manifold Learning in Feature Space
AISTATS 2022
Smoothed Embeddings for Certified Few-Shot Learning
NeurIPS 2022