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
Plausible looking adversarial examples for text classification
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
Some of my experiments targeting adversarial instances
Adversarially Occluded Samples for Person Re-identification, CVPR 2018
Tensorflow implementation for generating adversarial examples using convex programming
Detection of network traffic anomalies using unsupervised machine learning
Tutorial for generating adversarial examples
PhD proposal and defense.
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
ICLR16: DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
Make adversarial images of characters
The adversarial sample detection model based on edge noise feature
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