Seyed-Mohsen Moosavi-Dezfooli
20 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(12)
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Deep Specialist
(12)
π§¬
Topic Evolution
π
Keyword Champion
(8)
π§
Keyword Pioneer
β
The Questioner
(2)
π
Century Club Β· Bronze
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Conference Pioneer
π₯
Unstoppable Β· Silver
ποΈ
Keyword Collector
(66)
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Trend Setter
Top co-authors
Research topics
Machine Learning
(17)
Learning Types Β· Machine Learning
(12)
Deep Learning
(10)
Artificial Intelligence
(9)
Core AI Β· Artificial Intelligence
(9)
Optimization & Theory Β· Machine Learning
(9)
Computer Vision
(6)
Learning Types Β· Deep Learning
(6)
Application Areas
(4)
Architectures
(4)
Core AI Β· Computer Vision
(4)
Analysis
(3)
Core Methods
(2)
Optimization & Theory Β· Deep Learning
(2)
Bayesian & Probabilistic
(1)
Keywords
decision boundary
(8)
adversarial example
(6)
adversarial training
(5)
adversarial robustness
(5)
adversarial attack
(4)
image classification
(3)
adversarial perturbation
(3)
neural network
(2)
trajectory prediction
(2)
neural tangent kernel
(2)
geometric analysis
(2)
autonomous vehicle
(2)
neural network robustness
(2)
universal perturbation
(2)
deep neural network
(2)
generative model
(2)
black-box attack
(2)
loss landscape
(1)
query efficiency
(1)
computer vision
(1)
Papers
Certified Human Trajectory Prediction
CVPR 2025
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
ICLR 2025
SuperDeepFool: a new fast and accurate minimal adversarial attack
NeurIPS 2024
How to Choose your Best Allies for a Transferable Attack?
ICCV 2023
The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
CVPR 2023
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
ECCV 2022
Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
ICLR 2022
Vehicle Trajectory Prediction Works, but Not Everywhere
CVPR 2022
Uniform Convergence, Adversarial Spheres and a Simple Remedy
ICML 2021
What can linearized neural networks actually say about generalization?
NeurIPS 2021
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks
CVPR 2020
A Geometry-Inspired Decision-Based Attack
ICCV 2019
Robustness via Curvature Regularization, and Vice Versa
CVPR 2019
SparseFool: A Few Pixels Make a Big Difference
CVPR 2019
Empirical Study of the Topology and Geometry of Deep Networks
CVPR 2018
Geometric Robustness of Deep Networks: Analysis and Improvement
CVPR 2018
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective
ICLR 2018
Universal Adversarial Perturbations
CVPR 2017
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
CVPR 2016
Robustness of classifiers: from adversarial to random noise
NeurIPS 2016