Some of my experiments targeting adversarial instances
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Updated
May 7, 2017 - Jupyter Notebook
Some of my experiments targeting adversarial instances
Tutorial for generating adversarial examples
Make adversarial images of characters
Tensorflow implementation for generating adversarial examples using convex programming
Plausible looking adversarial examples for text classification
Adversarially Occluded Samples for Person Re-identification, CVPR 2018
ICLR16: DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
PhD proposal and defense.
Detection by Attack: Detecting Adversarial Samples by Undercover Attack
The adversarial sample detection model based on edge noise feature
Detection of network traffic anomalies using unsupervised machine learning
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
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).
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
Robust speech recognition using teacher-student learning
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