Implementation of Papers on Adversarial Examples
-
Updated
Apr 24, 2023 - Python
Implementation of Papers on Adversarial Examples
[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
NPI Ephemeris Propagation Tool with Uncertainty Extrapolation
[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation
Space Engineering 3 Course Work at University of Sydney
Universal Adversarial Audio Perturbations
Differentiable Optimizers with Perturbations in Pytorch
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation magnitude, we illustrate that MSAP is much more harmful than FGSM in corrupting the recommendation performance of BPR-MF.
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
Tropical Sensitivity Scores
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
The MATLAB model here presented performs trajectory propagations based on the Constant Density Polyhedron algorithm. With this model, it is possible to compute trajectories in the proximity of astronomical bodies such as asteroids or comets. The algorithm also allows to compute ballistic trajectories.
A deep convolutional neural network is used to explain the results of another one (VGG19).
[ICLR'24] Official PyTorch Implementation of ContraLSP
Building a multi-label classifier from scratch and using transfer learning for the PASCAL VOC image dataset.
Single-Cell (Perturbation) Model Library
Perturbation experiments on the latent capsules of 3D Point Capsule Networks by Zhao et al.
Dark photon conversions in our inhomogeneous Universe. Code repository associated with the papers https://arxiv.org/abs/2002.05165 and https://arxiv.org/abs/2004.06733.
[ICML'24] Official PyTorch Implementation of TimeX++
Add a description, image, and links to the perturbations topic page so that developers can more easily learn about it.
To associate your repository with the perturbations topic, visit your repo's landing page and select "manage topics."