George Kesidis

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 138

Top Venues

Publications

Xi Li, Hang Wang, David J. Miller, George Kesidis
Universal Post-Training Reverse-Engineering Defense Against Backdoors in Deep Neural Networks. CoRR (2024)
Aakash Sharma, Vivek M. Bhasi, Sonali Singh, George Kesidis, Mahmut T. Kandemir, Chita R. Das
GPU Cluster Scheduling for Network-Sensitive Deep Learning. CoRR (2024)
Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis
Temporal-Distributed Backdoor Attack against Video Based Action Recognition. AAAI (2024)
Jayaram Raghuram, George Kesidis, David J. Miller
On Trojans in Refined Language Models. CoRR (2024)
Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis
Temporal-Distributed Backdoor Attack Against Video Based Action Recognition. CoRR (2023)
Hang Wang, David J. Miller, George Kesidis
Post-Training Overfitting Mitigation in DNN Classifiers. CoRR (2023)
Xi Li, David J. Miller, Zhen Xiang, George Kesidis
A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers. MLSP (2023)
Hang Wang, David J. Miller, George Kesidis
Anomaly detection of adversarial examples using class-conditional generative adversarial networks. Comput. Secur. 124 (2023)
Hang Wang, Zhen Xiang, David J. Miller, George Kesidis
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection. CoRR (2023)
Hang Wang, Sahar Karami, Ousmane Dia, Hippolyt Ritter, Ehsan Emamjomeh-Zadeh, Jiahui Chen, Zhen Xiang, David J. Miller, George Kesidis
Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation Learning. ICASSP (2023)
Nader Alfares, George Kesidis
Container Sizing for Microservices with Dynamic Workload by Online Optimization. WOC@Middleware (2023)
George Kesidis, Takis Konstantopoulos, Michael A. Zazanis
Age of information using Markov-renewal methods. Queueing Syst. Theory Appl. 103 (1) (2023)
Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das
Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. ICDCS (2023)
Xi Li, Zhen Xiang, David J. Miller, George Kesidis
Backdoor Mitigation by Correcting the Distribution of Neural Activations. CoRR (2023)
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
Detecting Backdoor Attacks against Point Cloud Classifiers. ICASSP (2022)
Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das
Analysis of Distributed Deep Learning in the Cloud. CoRR (2022)
Xi Li, Zhen Xiang, David J. Miller, George Kesidis
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. ICASSP (2022)
Zhen Xiang, David J. Miller, George Kesidis
Detection of Backdoors in Trained Classifiers Without Access to the Training Set. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
George Kesidis, Takis Konstantopoulos, Michael A. Zazanis
In search of the least age of information. Queueing Syst. Theory Appl. 100 (3-4) (2022)
Zhen Xiang, David J. Miller, George Kesidis
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios. CoRR (2022)
Nader Alfares, Ata F. Baarzi, George Kesidis, Aman Jain
IaaS Procurement by Simulated Annealing. CoRR (2022)
Zhen Xiang, David J. Miller, George Kesidis
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios. ICLR (2022)
Hang Wang, Zhen Xiang, David J. Miller, George Kesidis
Universal Post-Training Backdoor Detection. CoRR (2022)
Wonil Choi, Bhuvan Urgaonkar, Mahmut Taylan Kandemir, George Kesidis
Multi-resource fair allocation for consolidated flash-based caching systems. Middleware (2022)
Myungjun Son, Shruti Mohanty, Jashwant Raj Gunasekaran, Aman Jain, Mahmut Taylan Kandemir, George Kesidis, Bhuvan Urgaonkar
Splice: An Automated Framework for Cost-and Performance-Aware Blending of Cloud Services. CCGRID (2022)
Hang Wang, S. Karami, O. Dia, H. Ritter, Ehsan Emamjomeh-Zadeh, J. Chen, Zhen Xiang, David J. Miller, George Kesidis
Training set cleansing of backdoor poisoning by self-supervised representation learning. CoRR (2022)
George Kesidis, Takis Konstantopoulos, Michael A. Zazanis
Age of information distribution under dynamic service preemption. CoRR (2021)
Xi Li, George Kesidis, David J. Miller, Maxime Bergeron, Ryan Ferguson, Vladimir Lucic
Robust and Active Learning for Deep Neural Network Regression. CoRR (2021)
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
A Backdoor Attack against 3D Point Cloud Classifiers. ICCV (2021)
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
A Backdoor Attack against 3D Point Cloud Classifiers. CoRR (2021)
Ataollah Fatahi Baarzi, George Kesidis, Carlee Joe-Wong, Mohammad Shahrad
On Merits and Viability of Multi-Cloud Serverless. SoCC (2021)
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
Detecting Backdoor Attacks Against Point Cloud Classifiers. CoRR (2021)
Ataollah Fatahi Baarzi, George Kesidis
SHOWAR: Right-Sizing And Efficient Scheduling of Microservices. SoCC (2021)
Hang Wang, David J. Miller, George Kesidis
Anomaly Detection of Test-Time Evasion Attacks using Class-conditional Generative Adversarial Networks. CoRR (2021)
Zhen Xiang, David J. Miller, Hang Wang, George Kesidis
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set. Neural Comput. 33 (5) (2021)
Zhen Xiang, David J. Miller, George Kesidis
Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing. Comput. Secur. 106 (2021)
Aakash Sharma, Saravanan Dhakshinamurthy, George Kesidis, Chita R. Das
CASH: A Credit Aware Scheduling for Public Cloud Platforms. CCGRID (2021)
Zhen Xiang, David J. Miller, George Kesidis
L-Red: Efficient Post-Training Detection of Imperceptible Backdoor Attacks Without Access to the Training Set. ICASSP (2021)
George Kesidis, Takis Konstantopoulos, Michael A. Zazanis
Age of Information for Small Buffer Systems. CoRR (2021)
Xi Li, Zhen Xiang, David J. Miller, George Kesidis
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. CoRR (2021)
Xi Li, George Kesidis, David J. Miller, Vladimir Lucic
Backdoor Attack and Defense for Deep Regression. CoRR (2021)
George Kesidis, Takis Konstantopoulos, Michael A. Zazanis
Age of information without service preemption. CoRR (2021)
Xi Li, David J. Miller, Zhen Xiang, George Kesidis
A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers. CoRR (2021)
David J. Miller, Zhen Xiang, George Kesidis
Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks. Proc. IEEE 108 (3) (2020)
Ataollah Fatahi Baarzi, George Kesidis, Dan Fleck, Angelos Stavrou
Microservices made attack-resilient using unsupervised service fissioning. EuroSec@EuroSys (2020)
Mohammad Hassan Lotfi, Saswati Sarkar, George Kesidis
Is Non-Neutrality Profitable for the Stakeholders of the Internet Market? IEEE/ACM Trans. Netw. 28 (4) (2020)
Zhen Xiang, David J. Miller, George Kesidis
L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set. CoRR (2020)
Yuquan Shan, George Kesidis, Aman Jain, Bhuvan Urgaonkar, Jalal Khamse-Ashari, Ioannis Lambadaris
Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Cloud. WOC@Middleware (2020)
Zhen Xiang, David J. Miller, George Kesidis
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing. CoRR (2020)
George Kesidis, Takis Konstantopoulos
TB/GI/1 queues with arrival traffic envelopes. SIGMETRICS Perform. Evaluation Rev. 48 (2) (2020)
Xi Li, David J. Miller, Zhen Xiang, George Kesidis
A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers. DDDAS (2020)
George Kesidis, Takis Konstantopoulos, Michael A. Zazanis
The distribution of age-of-information performance measures for message processing systems. Queueing Syst. Theory Appl. 95 (3) (2020)
Aakash Sharma, Saravanan Dhakshinamurthy, George Kesidis, Chita R. Das
CASH: A Credit Aware Scheduling for Public Cloud Platforms. CoRR (2020)
Zhen Xiang, David J. Miller, George Kesidis
Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification. ICASSP (2020)
Weiqiang Liu, Maximilian John, Andreas Karrenbauer, Adam Allerhand, Fabrizio Lombardi, Michael Shulte, David J. Miller, Zhen Xiang, George Kesidis, Antti Oulasvirta, Niraj Ramesh Dayama, Morteza Shiripour
Scanning the Issue. Proc. IEEE 108 (3) (2020)
Aman Jain, Ata F. Baarzi, George Kesidis, Bhuvan Urgaonkar, Nader Alfares, Mahmut T. Kandemir
SplitServe: Efficiently Splitting Apache Spark Jobs Across FaaS and IaaS. Middleware (2020)
Zhen Xiang, David J. Miller, Hang Wang, George Kesidis
Revealing Perceptible Backdoors in DNNs, Without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic. MLSP (2020)
David J. Miller, Yujia Wang, George Kesidis
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time. Neural Comput. 31 (8) (2019)
Zhen Xiang, David J. Miller, George Kesidis
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic. CoRR (2019)
Zhen Xiang, David J. Miller, George Kesidis
A Benchmark Study Of Backdoor Data Poisoning Defenses For Deep Neural Network Classifiers And A Novel Defense. MLSP (2019)
Aris Leivadeas, George Kesidis, Mohamed Ibnkahla, Ioannis Lambadaris
. Future Internet 11 (3) (2019)
Aman Jain, Mahmut T. Kandemir, Nader Alfares, Bhuvan Urgaonkar, Ata F. Baarzi, George Kesidis
SpIitServe: Efficiently Splitting Complex Workloads Across FaaS and IaaS. SoCC (2019)
Jashwant Raj Gunasekaran, Prashanth Thinakaran, Mahmut Taylan Kandemir, Bhuvan Urgaonkar, George Kesidis, Chita R. Das
Spock: Exploiting Serverless Functions for SLO and Cost Aware Resource Procurement in Public Cloud. CLOUD (2019)
George Kesidis, Bhuvan Urgaonkar, Mahmut T. Kandemir, Takis Konstantopoulos
A caching system with object sharing. CoRR (2019)
Zhen Xiang, David J. Miller, George Kesidis
Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification. CoRR (2019)
Jalal Khamse-Ashari, Ioannis Lambadaris, George Kesidis, Bhuvan Urgaonkar, Yiqiang Q. Zhao
A Cost-Aware Fair Allocation Mechanism for Multi-Resource Servers. IEEE Netw. Lett. 1 (1) (2019)
George Kesidis, David J. Miller
Notes on Lipschitz Margin, Lipschitz Margin Training, and Lipschitz Margin p-Values for Deep Neural Network Classifiers. CoRR (2019)
David J. Miller, Zhen Xiang, George Kesidis
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks. CoRR (2019)
George Kesidis, Takis Konstantopoulos, Michael A. Zazanis
The distribution of age-of-information performance measures for message processing systems. CoRR (2019)
Aman Jain, Ata F. Baarzi, Nader Alfares, George Kesidis, Bhuvan Urgaonkar, Mahmut T. Kandemir
SpIitServe: Efficiently Splitting Complex Workloads Across FaaS and IaaS. SoCC (2019)
George Kesidis
Temporal Overbooking of Lambda Functions in the Cloud. CoRR (2019)
George Kesidis
Overbooking Lambda Functions in the Cloud. WOC@Middleware (2019)
Yujia Wang, David J. Miller, George Kesidis
When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers. ICASSP (2019)
Aris Leivadeas, Matthias Falkner, Ioannis Lambadaris, George Kesidis, Chung-Horng Lung, Mohamed Ibnkahla
Considerations for a Successful Network Service Chain Deployment. NetSoft (2018)
Jalal Khamse-Ashari, George Kesidis, Ioannis Lambadaris, Bhuvan Urgaonkar, Yiqiang Q. Zhao
Constrained max-min fair scheduling of variable-length packet-flows to multiple servers. Ann. des Télécommunications 73 (3-4) (2018)
Ying-Dar Lin, Yuan-Cheng Lai, George Kesidis, Athanasios V. Vasilakos
Guest Editorial Special Issue on Traffic Forensics: Systems, Tools, and Experimentations. IEEE Syst. J. 12 (1) (2018)
David J. Miller, Yujia Wang, George Kesidis
Anomaly Detection of Attacks (Ada) on DNN Classifiers at Test Time. MLSP (2018)
Neda Nasiriani, George Kesidis, Di Wang
Public Cloud Differential Pricing Design Under Provider and Tenants Joint Demand Response. e-Energy (2018)
Aris Leivadeas, Matthias Falkner, Ioannis Lambadaris, Mohamed Ibnkahla, George Kesidis
Balancing Delay and Cost in Virtual Network Function Placement and Chaining. NetSoft (2018)
George Kesidis, Yuquan Shan, Aman Jain, Bhuvan Urgaonkar, Jalal Khamse-Ashari, Ioannis Lambadaris
Scheduling Distributed Resources in Heterogeneous Private Clouds. MASCOTS (2018)
Yuquan Shan, George Kesidis, Bhuvan Urgaonkar, Jörg Schad, Jalal Khamse-Ashari, Ioannis Lambadaris
Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud. CoRR (2018)
David J. Miller, George Kesidis, Zhicong Qiu
Unsupervised Parsimonious Cluster-Based Anomaly Detection (PCAD). MLSP (2018)
Yuquan Shan, Aman Jain, George Kesidis, Bhuvan Urgaonkar, Jalal Khamse-Ashari, Ioannis Lambadaris
Online Scheduling of Spark Workloads with Mesos using Different Fair Allocation Algorithms. CoRR (2018)
Cheng Wang, Bhuvan Urgaonkar, George Kesidis, Aayush Gupta, Lydia Y. Chen, Robert Birke
Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability. ACM Trans. Auton. Adapt. Syst. 13 (1) (2018)
Yujia Wang, David J. Miller, George Kesidis
When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers. CoRR (2018)
George Kesidis, Yuquan Shan, Daniel Fleck, Angelos Stavrou, Takis Konstantopoulos
. MALWARE (2018)
Neda Nasiriani, George Kesidis
Optimal Peak Shaving Using Batteries at Datacenters: Charging Risk and Degradation Model. ICNC (2018)
George Kesidis
Stationary Distribution of a Generalized LRU-MRU Content Cache. ICNC (2018)
Daniel Fleck, Angelos Stavrou, George Kesidis, Neda Nasiriani, Yuquan Shan, Takis Konstantopoulos
Moving-Target Defense Against Botnet Reconnaissance and an Adversarial Coupon-Collection Model. DSC (2018)
Jalal Khamse-Ashari, Ioannis Lambadaris, George Kesidis, Bhuvan Urgaonkar, Yiqiang Q. Zhao
An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers. IEEE Trans. Parallel Distributed Syst. 29 (12) (2018)
Jalal Khamse-Ashari, Ioannis Lambadaris, George Kesidis, Bhuvan Urgaonkar, Yiqiang Q. Zhao
A Cost-Efficient and Fair Multi-Resource Allocation Mechanism for Self-Organizing Servers. GLOBECOM (2018)
George Kesidis
Average age of coupon type and related average age of information. CoRR (2018)
David J. Miller, Xinyi Hu, Zhen Xiang, George Kesidis
A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters. CoRR (2018)
George Kesidis, Yuquan Shan, Yujia Wang, Bhuvan Urgaonkar, Jalal Khamse-Ashari, Ioannis Lambadaris
Efficient max-min and proportional fair constrained multiresource scheduling. CoRR (2017)
George Kesidis, Neda Nasiriani, Yuquan Shan, Bhuvan Urgaonkar, Ioannis Lambadaris
Multicommodity games in public-cloud markets considering subadditive resource demands. INFOCOM Workshops (2017)
George Kesidis
Markovian models of Internet Caches including Closed-Form Stationary Distributions. CoRR (2017)
Yuquan Shan, George Kesidis, Daniel Fleck
Cloud-Side Shuffling Defenses against DDoS Attacks on Proxied Multiserver Systems. CCSW@CCS (2017)
Zhicong Qiu, David J. Miller, George Kesidis
Flow based botnet detection through semi-supervised active learning. ICASSP (2017)
David J. Miller, Xinyi Hu, Zhicong Qiu, George Kesidis
Adversarial Learning: A Critical Review and Active Learning Study. CoRR (2017)
Jalal Khamse-Ashari, Ioannis Lambadaris, George Kesidis, Bhuvan Urgaonkar, Yiqiang Q. Zhao
An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

George Kesidis