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
Detection of network traffic anomalies using unsupervised machine learning
Some of my experiments targeting adversarial instances
Tensorflow implementation for generating adversarial examples using convex programming
ICLR16: DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
PhD proposal and defense.
Tutorial for generating adversarial examples
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).
The adversarial sample detection model based on edge noise feature
Robust speech recognition using teacher-student learning
Make adversarial images of characters
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