Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
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Updated
Sep 27, 2022 - Python
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Detection by Attack: Detecting Adversarial Samples by Undercover Attack
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
Plausible looking adversarial examples for text classification
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
Adversarially Occluded Samples for Person Re-identification, CVPR 2018
Tensorflow implementation for generating adversarial examples using convex programming
Repository containing the experimental code for the publication 'Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks' (Emelin, Denis, Ivan Titov, and Rico Sennrich, EMNLP 2020).
Robust speech recognition using teacher-student learning
Make adversarial images of characters
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