no code implementations • EMNLP (NLPOSS) 2020 • John Morris, Jin Yong Yoo, Yanjun Qi
TextAttack is an open-source Python toolkit for adversarial attacks, adversarial training, and data augmentation in NLP.
1 code implementation • NAACL 2022 • Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, SangBum Kim, Enkhbayar Erdenee, Buru Chang
To better reflect the style of the character, PDP builds the prompts in the form of dialog that includes the character's utterances as dialog history.
1 code implementation • Findings (EMNLP) 2021 • Jin Yong Yoo, Yanjun Qi
Adversarial training, a method for learning robust deep neural networks, constructs adversarial examples during training.
1 code implementation • 16 Jun 2021 • Jake Grigsby, Jin Yong Yoo, Yanjun Qi
Model-free off-policy actor-critic methods are an efficient solution to complex continuous control tasks.
2 code implementations • EMNLP (BlackboxNLP) 2020 • Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi
We study the behavior of several black-box search algorithms used for generating adversarial examples for natural language processing (NLP) tasks.
2 code implementations • EMNLP 2020 • John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, Yanjun Qi
TextAttack also includes data augmentation and adversarial training modules for using components of adversarial attacks to improve model accuracy and robustness.