Abstract
Torchattacks is a PyTorch library that contains adversarial attacks to generate adversarial examples and to verify the robustness of deep learning models. The code can be found at https://github.com/Harry24k/adversarial-attacks-pytorch.
Torchattacks: A PyTorch Repository for Adversarial Attacks
Code
Related papers
Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).
- advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch (2019)73% match
- DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses (2020)69% match
- Advbox: a toolbox to generate adversarial examples that fool neural networks (2020)67% match
- Adversarial Robustness Toolbox V1.0.0 (2018)66% match
- AdvSecureNet: A Python Toolkit for Adversarial Machine Learning (2024)65% match
- Foolbox: A Python toolbox to benchmark the robustness of machine learning models (2017)64% match
- Technical Report on the CleverHans v2.1.0 Adversarial Examples Library (2016)63% match
- OpenAttack: An Open-source Textual Adversarial Attack Toolkit (2020)55% match