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[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
Implementation of Papers on Adversarial Examples
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
Differentiable Optimizers with Perturbations in Pytorch
NPI Ephemeris Propagation Tool with Uncertainty Extrapolation
[ICLR'24] Official PyTorch Implementation of ContraLSP
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
Space Engineering 3 Course Work at University of Sydney
Building a multi-label classifier from scratch and using transfer learning for the PASCAL VOC image dataset.
Adversarial Attack using a DCGAN
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.
Code to analyze high-density EEG and concurrent EMG/EOG datastreams during balance perturbations (replicates results from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088363/)
A deep convolutional neural network is used to explain the results of another one (VGG19).
A Character-level Perturbation Generator based on probability distribution, density and diversity.
Single-Cell (Perturbation) Model Library
Code and raw data for the implementation of "Correction of human forehead temperature variations measured by non-contact infrared thermometer". Adrian Shajkofci, 2020
Perturbation experiments on the latent capsules of 3D Point Capsule Networks by Zhao et al.
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.
Personal notes explore various aspects of cosmology, with a particular focus on the dynamics of a homogeneous and isotropic universe.
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.
Simulate the orbital motion for a CubeSat (HokieNav) as part of a senior design project with VT's ECE department sponsored by The Aerospace Corporation.
This is the enhanced version of Stadius Move on Thionville, the traffic info scraping bot for Citéline buses.
Tropical Sensitivity Scores
Code for the Adipocyte paper (Curated gene expression dataset of differentiating 3T3-L1 adipocytes under pharmacological and genetic perturbations)
A Curated Microarrays Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Under Genetic and Pharmacological Perturbations
Fast Gradient Sign Method Adversarial Attack on Digit Recognition Model