jeromerony Goto Github PK
Name: Jérôme Rony
Type: User
Company: Synlico Inc.
Bio: Machine learning researcher at Synlico Inc. working on T-cell engineering for solid tumor cancer therapy.
Location: Montréal, Quebec
Name: Jérôme Rony
Type: User
Company: Synlico Inc.
Bio: Machine learning researcher at Synlico Inc. working on T-cell engineering for solid tumor cancer therapy.
Location: Montréal, Quebec
Library containing PyTorch implementations of various adversarial attacks and resources
Code for the CVPR 2023 paper "Proximal Splitting Adversarial Attacks for Semantic Segmentation"
Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge
Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
scikit-learn: machine learning in Python
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