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08/21/2023
Temporal-Distributed Backdoor Attack Against Video Based Action Recognition
Deep neural networks (DNNs) have achieved tremendous success in various ...
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08/18/2023
Backdoor Mitigation by Correcting the Distribution of Neural Activations
Backdoor (Trojan) attacks are an important type of adversarial exploit a...
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08/08/2023
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection
Deep neural networks are vulnerable to backdoor attacks (Trojans), where...
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08/30/2022
Analysis of Distributed Deep Learning in the Cloud
We aim to resolve this problem by introducing a comprehensive distribute...
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07/11/2022
IaaS Procurement by Simulated Annealing
Considering the problem of resource allocation for potentially complex a...
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05/13/2022
Universal Post-Training Backdoor Detection
A Backdoor attack (BA) is an important type of adversarial attack agains...
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01/20/2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
Backdoor attacks (BAs) are an emerging threat to deep neural network cla...
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12/06/2021
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
Backdoor (Trojan) attacks are emerging threats against deep neural netwo...
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10/20/2021
Detecting Backdoor Attacks Against Point Cloud Classifiers
Backdoor attacks (BA) are an emerging threat to deep neural network clas...
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09/06/2021
Backdoor Attack and Defense for Deep Regression
We demonstrate a backdoor attack on a deep neural network used for regre...
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07/28/2021
Robust and Active Learning for Deep Neural Network Regression
We describe a gradient-based method to discover local error maximizers o...
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06/15/2021
Age of Information for Small Buffer Systems
Consider a message processing system whose objective is to produce the m...
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05/28/2021
A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers
Data Poisoning (DP) is an effective attack that causes trained classifie...
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05/21/2021
Anomaly Detection of Test-Time Evasion Attacks using Class-conditional Generative Adversarial Networks
Deep Neural Networks (DNNs) have been shown vulnerable to adversarial (T...
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04/23/2021
Age of information distribution under dynamic service preemption
Age of Information (AoI) has emerged as an important quality-of-service ...
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04/16/2021
Age of information without service preemption
When designing a message transmission system, from the point of view of ...
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04/12/2021
A Backdoor Attack against 3D Point Cloud Classifiers
Vulnerability of 3D point cloud (PC) classifiers has become a grave conc...
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10/20/2020
L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set
Backdoor attacks (BAs) are an emerging form of adversarial attack typica...
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10/15/2020
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
Backdoor data poisoning is an emerging form of adversarial attack usuall...
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09/09/2020
CASH: A Credit Aware Scheduling for Public Cloud Platforms
The public cloud offers a myriad of services which allows its tenants to...
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11/18/2019
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic
Recently, a special type of data poisoning (DP) attack, known as a backd...
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10/15/2019
Notes on Lipschitz Margin, Lipschitz Margin Training, and Lipschitz Margin p-Values for Deep Neural Network Classifiers
We provide a local class purity theorem for Lipschitz continuous, half-r...
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08/27/2019
Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification
Recently, a special type of data poisoning (DP) attack targeting Deep Ne...
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05/18/2019
A caching system with object sharing
We consider a public content caching system that is shared by a number o...
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04/12/2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
With the wide deployment of machine learning (ML) based systems for a va...
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04/11/2019
The distribution of age-of-information performance measures for message processing systems
The idea behind the recently introduced "age of information" performance...
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01/28/2019
Temporal Overbooking of Lambda Functions in the Cloud
We consider the problem of scheduling "serverless computing" instances s...
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10/31/2018
A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters
Naive Bayes spam filters are highly susceptible to data poisoning attack...
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10/31/2018
When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers
This paper addresses detection of a reverse engineering (RE) attack targ...
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10/01/2018
Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud
Using tiny, equal-sized tasks (Homogeneous microTasking, HomT) has long ...
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08/01/2018
Relative Age of Information: Maintaining Freshness while Considering the Most Recently Generated Information
A queueing system handling a sequence of message arrivals is considered ...
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08/01/2018
Average age of coupon type and related average age of information
We consider two types of problems associated with a bufferless server wi...
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03/02/2018
Online Scheduling of Spark Workloads with Mesos using Different Fair Allocation Algorithms
In the following, we present example illustrative and experimental resul...
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03/02/2018
Online Scheduling Fair of Spark Workloads with Mesos using Different Fair Allocation Algorithms
In the following, we present example illustrative and experimental resul...
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12/29/2017
An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers
Efficient and fair allocation of multiple types of resources is a crucia...
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12/18/2017
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time
A significant threat to the recent, wide deployment of machine learning-...
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12/04/2017
Changing proxy-server identities as a proactive moving-target defense against reconnaissance for DDoS attacks
We consider a cloud based multiserver system consisting of a set of repl...
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11/24/2017
Is Non-Neutrality Profitable for the Stakeholders of the Internet Market? - Part II
In this part of the paper, we obtain analytical results for the case tha...
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05/17/2017
Scheduling Distributed Resources in Heterogeneous Private Clouds
We first consider the static problem of allocating resources to ( i.e. ,...
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05/17/2017
Efficient max-min and proportional fair constrained multiresource scheduling
We consider the problem of scheduling a group of heterogeneous, distribu...
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04/17/2017
