42 citations · 207 across the 76 of their papers we have counts for
10 papers · 1 filter
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
Xi Li, Zhen Xiang, David J. Miller +1
Backdoor (Trojan) attacks are emerging threats against deep neural networks (DNN). A DNN being attacked will predict to an attacker-desired target class whenever a test sample from…
Detecting Backdoor Attacks Against Point Cloud Classifiers
Zhen Xiang, David J. Miller, Siheng Chen +2
Backdoor attacks (BA) are an emerging threat to deep neural network classifiers. A classifier being attacked will predict to the attacker's target class when a test sample from a s…
Backdoor Attack and Defense for Deep Regression
Xi Li, George Kesidis, David J. Miller +1
We demonstrate a backdoor attack on a deep neural network used for regression. The backdoor attack is localized based on training-set data poisoning wherein the mislabeled samples…
Robust and Active Learning for Deep Neural Network Regression
Xi Li, George Kesidis, David J. Miller +3
We describe a gradient-based method to discover local error maximizers of a deep neural network (DNN) used for regression, assuming the availability of an "oracle" capable of provi…
Age of Information for Small Buffer Systems
George Kesidis, Takis Konstantopoulos, Michael Zazanis
Consider a message processing system whose objective is to produce the most current information as measured by the quantity known as "age of information". We have argued in previou…
A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers
Xi Li, David J. Miller, Zhen Xiang +1
Data Poisoning (DP) is an effective attack that causes trained classifiers to misclassify their inputs. DP attacks significantly degrade a classifier's accuracy by covertly injecti…
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks
Hang Wang, David J. Miller, George Kesidis
Deep Neural Networks (DNNs) have been shown vulnerable to Test-Time Evasion attacks (TTEs, or adversarial examples), which, by making small changes to the input, alter the DNN's de…
A Backdoor Attack against 3D Point Cloud Classifiers
Zhen Xiang, David J. Miller, Siheng Chen +2
Vulnerability of 3D point cloud (PC) classifiers has become a grave concern due to the popularity of 3D sensors in safety-critical applications. Existing adversarial attacks agains…
Age of information distribution under dynamic service preemption
George Kesidis, Takis Konstantopoulos, Michael A. Zazanis
Age of Information (AoI) has emerged as an important quality-of-service measure for applications that prioritize delivery of the freshest information, e.g., virtual or augmented re…
Age of information without service preemption
George Kesidis, Takis Konstantopoulos, Michael A. Zazanis
When designing a message transmission system, from the point of view of making sure that the information transmitted is as fresh as possible, two rules of thumb seem reasonable: us…