Machine Learning · Computer Science
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
2020-05-14
Computation and Language · Computer Science
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
Guoyang Zeng, Fanchao Qi, Qianrui Zhou, Tingji Zhang +5
2021-09-27
Machine Learning · Computer Science
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala +4
2016-11-07
Cryptography and Security · Computer Science
A Comprehensive Review of Adversarial Attacks on Machine Learning
Syed Quiser Ahmed, Bharathi Vokkaliga Ganesh, Sathyanarayana Sampath Kumar, Prakhar Mishra +2
2024-12-17
Machine Learning · Computer Science
Avalanche: A PyTorch Library for Deep Continual Learning
Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati +1
2023-02-06
Cryptography and Security · Computer Science
BackdoorBox: A Python Toolbox for Backdoor Learning
Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang +1
2023-02-06
Machine Learning · Computer Science
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta +24
2021-04-02
Computer Vision and Pattern Recognition · Computer Science
PyTorchVideo: A Deep Learning Library for Video Understanding
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala +12
2021-11-19
Machine Learning · Computer Science
Adversarial Robustness Toolbox v1.0.0
Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran, Beat Buesser +8
2019-11-18
Computer Vision and Pattern Recognition · Computer Science
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Abhijith Sharma, Yijun Bian, Phil Munz, Apurva Narayan
2022-06-17
Computation and Language · Computer Science
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby +2
2020-10-06
Machine Learning · Computer Science
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay +1
2018-10-02
Machine Learning · Computer Science
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li
2018-07-10
Machine Learning · Computer Science
Advbox: a toolbox to generate adversarial examples that fool neural networks
Dou Goodman, Hao Xin, Wang Yang, Wu Yuesheng +2
2020-08-28
Machine Learning · Computer Science
TorchRL: A data-driven decision-making library for PyTorch
Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar +4
2023-11-28
Machine Learning · Computer Science
TorchSurv: A Lightweight Package for Deep Survival Analysis
Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner +3
2024-04-18
Machine Learning · Computer Science
TorchBench: Benchmarking PyTorch with High API Surface Coverage
Yueming Hao, Xu Zhao, Bin Bao, David Berard +3
2023-06-27