Doing analysis on shared embedding space for the natural languages of English and Tamil
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Updated
Apr 18, 2018 - Jupyter Notebook
Doing analysis on shared embedding space for the natural languages of English and Tamil
Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation
Physical adversarial attack for fooling the Faster R-CNN object detector
A stochastic input pre-processing technique based on a process of down-sampling/up-sampling using convolution and transposed convolution layers. Defending convolutional neural network against adversarial attacks.
Program that uses tensorflow and keras to recognize images and by the way has an extra code to confuse said artificial intelligence with fake recreated images. Technologies and languages used: Jupyter, Tensorflow, Keras and Python. Own learning.
Employing Adversarial Machine Learning and Computer Audition for Smartphone-Based Real-Time Arrhythmia Classification in Heart Sounds
Talk presented during 3rd SeComp from UTFPR, Brazil, Apucarana. This repository contains all codes, slides, and supplementary material.
Notes, tutorials, code snippets and templates focused on Generative Adversarial NNs for Machine Learning
A repository about Robust Deep Neural Networks with Uncertainty, Local Competition and Error-Correcting-Output-Codes in TensorFlow.
Adversarial attacks on CNNs using gradients of the network
Network Intrusion Detection in an Adversarial setting
Improving model's robustness to transfer attacks by regularizing projection of input gradients.
( GCANN ) Guided Convergence Adversarial Neural Network
Comparing various adversarial attacks and defenses for CNN based Image classifiers from the IBM-Adversarial-toolbox
[Elsevier Image and Vision Computing] How robust are discriminatively trained zero-shot learning models?
The official repo for GCP-CROWN paper
AGV-Project for evolutionary adversarial attacks on XAI methods
A new kind of MLOps platform purpose built for production generative ai apps
Steganographic method for hiding text in transformer-based Language Models
Here we visualize the need for robust BO against an adversary. Clearly the optimum design point changes depending the uncertain parameter x, so we should identify a region for which the decision variable x resides in an optimal region.
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