A tic-tac-toe using minmax adversial search algorithm as an opponent

The impact of transitive annotation on the training of taxonomic classifiers

终于有自己的博客啦~记录自己的学习心得，陆续搬运上传ing

[UAI 2024 paper] DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution.

Defending Neural Networks from Adversarial Attacks

Framework for creating Adversarial Attacks on Deep Neural Networks with Evolutionary Strategies (ES).

Training robust models takes a looong time since generating adversaries is so expensive. We design a parallel algorithm for training large robust models using PyTorch C++/MPI and show it runs fast!

A Python toolbox to create adversarial examples that fool neural networks in PyTorch.

Generating adversarial examples for classification tasks with a SAT solver

Deep learning - adversarial attack & defense

iax, is a library created to simplify the search of adversarial examples within a masked area of an image in a black-box scenario. currently implemented with a PSO search algorithm.

A practice project for implementing Adversarial Examples in Tensorflow

Public repository of my master's thesis in engineering which is about the robustness of deep neural networks

Project Page (FACL-Attack, AAAI 2024)

PyTorch implementation of ReACG, accepted at ICPRAI 2024.

A short beginner level tutorial on the generation adversarial examples to fool a neural network.

Adversarial Machine Learning - examples of offensive and defensive techniques

Adversarial-Attacks-and-Defence