activity
20172022
most citedOne pixel attack for fooling deep neural networks

1.7k citations · 1.8k across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2022

On the Information-theoretic Security of Combinatorial All-or-nothing Transforms

Yujie Gu, Sonata Akao, Navid Nasr Esfahani +2

All-or-nothing transforms (AONT) were proposed by Rivest as a message preprocessing technique for encrypting data to protect against brute-force attacks, and have numerous applicat…

cs.LG2019★ 2 cited

Universal Rules for Fooling Deep Neural Networks based Text Classification

Di Li, Danilo Vasconcellos Vargas, Sakurai Kouichi

Recently, deep learning based natural language processing techniques are being extensively used to deal with spam mail, censorship evaluation in social networks, among others. Howe…

cs.CV2018★ 3 cited

Attacking Convolutional Neural Network using Differential Evolution

Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai

The output of Convolutional Neural Networks (CNN) has been shown to be discontinuous which can make the CNN image classifier vulnerable to small well-tuned artificial perturbations…

cs.CR2018★ 35 cited

Lightweight Classification of IoT Malware based on Image Recognition

Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad +3

The Internet of Things (IoT) is an extension of the traditional Internet, which allows a very large number of smart devices, such as home appliances, network cameras, sensors and c…

cs.LG2017★ 1.7k cited

One pixel attack for fooling deep neural networks

Jiawei Su, Danilo Vasconcellos Vargas, Sakurai Kouichi

Recent research has revealed that the output of Deep Neural Networks (DNN) can be easily altered by adding relatively small perturbations to the input vector. In this paper, we ana…