105 citations · 298 across the 29 of their papers we have counts for
4 papers · 1 filter
When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers
Yujia Wang, David J. Miller, George Kesidis
This paper addresses detection of a reverse engineering (RE) attack targeting a deep neural network (DNN) image classifier; by querying, RE's aim is to discover the classifier's de…
A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters
David J. Miller, Xinyi Hu, Zhen Xiang +1
Naive Bayes spam filters are highly susceptible to data poisoning attacks. Here, known spam sources/blacklisted IPs exploit the fact that their received emails will be treated as (…
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
Cong Liao, Haoti Zhong, Anna Squicciarini +2
Deep learning models have consistently outperformed traditional machine learning models in various classification tasks, including image classification. As such, they have become i…
Learned Neural Iterative Decoding for Lossy Image Compression Systems
Alexander G. Ororbia, Ankur Mali, Jian Wu +3
For lossy image compression systems, we develop an algorithm, iterative refinement, to improve the decoder's reconstruction compared to standard decoding techniques. Specifically,…