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Hi there I'm Paul👋

🔭 I’m working on computer vision, with a particular focus on investigating the internal representations of deep neural networks, improving their training dynamics, evaluating their robustness, and delving into their generalization abilities.

Paul Gavrikov's Projects

adversarial_robustness_pytorch icon adversarial_robustness_pytorch

Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

adversarial_solarization icon adversarial_solarization

Official implementation of Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers

android-dolphinattack icon android-dolphinattack

Bruteforce attack on Android Voice assistants to issue commands like phone calls with a zero permission app. This is an audible variant of the bruteforce attack describe in this publication: https://dl.acm.org/citation.cfm?id=3134052

cnn-filter-db icon cnn-filter-db

A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)

cvpr22w_robustnessthroughthelens icon cvpr22w_robustnessthroughthelens

Official repository of our submission "Adversarial Robustness through the Lens of Convolutional Filters" for the CVPR2022 Workshop "The Art of Robustness: Devil and Angel in Adversarial Machine Learning Workshop"

diffusion-noise-cls-pytorch icon diffusion-noise-cls-pytorch

This is an unofficial implementation of the diffusion-style noise frontend in "Intriguing properties of generative classifiers" by Priyank Jaini, Kevin Clark, Robert Geirhos to improve the shape-bias of vision models.

imagebind icon imagebind

ImageBind One Embedding Space to Bind Them All

internimage icon internimage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

jmdns icon jmdns

Official home of the jmDNS library

kornia icon kornia

Computer Vision and Robotics Library for AI

meal-v2 icon meal-v2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

model-vs-human icon model-vs-human

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

padding_robustness icon padding_robustness

Official repository for the ICCVW2023 paper "On the Interplay of Convolutional Padding and Adversarial Robustness".

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