This repo contains the implementation of ASK attack/defense proposed by us
-
Updated
Oct 25, 2022 - Python
This repo contains the implementation of ASK attack/defense proposed by us
Adversarial Feature Hallucination in a Supervised Contrastive Space for Few-Shot Learning of Provenance in Paintings
(In Progress) A simple program designed to optimize an enemy AI in Connect-4 using adversarial reinforcement learning
Fairness, Accountability, Confidentiality, Transparency in AI (FACT-AI).
Undirected graphical models are compact representations of joint probability distributions over random variables. To solve inference tasks of interest, graphical models of arbitrary topology can be trained using empirical risk minimization. However, to solve inference tasks that were not seen during training, these models (EGMs) often need to be…
DeepXplore (https://arxiv.org/abs/1705.06640) is a white-box framework for testing deep neural networks. Here, I have used the examples generated by the framework to retrain LeNet-5, LeNet-4 and LeNet-1.
Al HW submissions made during the "Adversarial Learning Course" Of Y-DATA, Yandex
Official repository for ICLR'24 paper "Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training"
Independent Causal Mechanisms on 3D point clouds
Several Projects about AI in Python.
Implementation of Vanilla GAN
Unsupervised mapping via adversarial neural networks, inspired by Facebook's MUSE
Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.
My solutions for the AI Village Capture the Flag @ DEFCON30 competition.
Adversarial Contrastive Learning project
Python API for generating adapted and unique neighbourhoods for searching for adversarial examples.
This is an attempt to transfer knowledge from one model to another with noise.
MIFY Intelligence Artificial Contest 2018
Trying out and learning about adversarial learning methods
Reverse engineers a binary classifier using only 1 of the classes and without making queries.
Add a description, image, and links to the adversarial-learning topic page so that developers can more easily learn about it.
To associate your repository with the adversarial-learning topic, visit your repo's landing page and select "manage topics."