George Kesidis

George Kesidis

Penn State University

H-index: 48

North America-United States

About George Kesidis

George Kesidis, With an exceptional h-index of 48 and a recent h-index of 25 (since 2020), a distinguished researcher at Penn State University, specializes in the field of networking, security, machine learning, optimization, stochastic processes.

His recent articles reflect a diverse array of research interests and contributions to the field:

Temporal-distributed backdoor attack against video based action recognition

BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers: A Comprehensive Study

Universal Post-Training Reverse-Engineering Defense Against Backdoors in Deep Neural Networks

GPU Cluster Scheduling for Network-Sensitive Deep Learning

Post-training detection and identification of human-imperceptible backdoor-poisoning attacks

Backdoor Mitigation by Correcting the Distribution of Neural Activations

Mm-bd: Post-training detection of backdoor attacks with arbitrary backdoor pattern types using a maximum margin statistic

Age of information using Markov-renewal methods

George Kesidis Information

University

Position

Professor of Computer Science and Engineering ; Professor of Electrical Engineering Pennsylvania

Citations(all)

9110

Citations(since 2020)

2640

Cited By

7412

hIndex(all)

48

hIndex(since 2020)

25

i10Index(all)

159

i10Index(since 2020)

61

Email

University Profile Page

Penn State University

Google Scholar

View Google Scholar Profile

George Kesidis Skills & Research Interests

networking

security

machine learning

optimization

stochastic processes

Top articles of George Kesidis

Title

Journal

Author(s)

Publication Date

Temporal-distributed backdoor attack against video based action recognition

AAAI 2024

Xi* Li

Songhe* Wang

Ruiquan Huang

Mahanth Gowda

George Kesidis

2023/8/21

BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers: A Comprehensive Study

IEEE Transactions on Knowledge and Data Engineering

Xi Li

David J Miller

Zhen Xiang

George Kesidis

2024/2/13

Universal Post-Training Reverse-Engineering Defense Against Backdoors in Deep Neural Networks

arXiv preprint arXiv:2402.02034

Xi Li

Hang Wang

David J Miller

George Kesidis

2024/2/3

GPU Cluster Scheduling for Network-Sensitive Deep Learning

arXiv preprint arXiv:2401.16492

Aakash Sharma

Vivek M Bhasi

Sonali Singh

George Kesidis

Mahmut T Kandemir

...

2024/1/29

Post-training detection and identification of human-imperceptible backdoor-poisoning attacks

2023/3/21

Backdoor Mitigation by Correcting the Distribution of Neural Activations

arXiv preprint arXiv:2308.09850

Xi Li

Zhen Xiang

David J Miller

George Kesidis

2023/8/18

Mm-bd: Post-training detection of backdoor attacks with arbitrary backdoor pattern types using a maximum margin statistic

Hang Wang

Zhen Xiang

David J Miller

George Kesidis

2024

Age of information using Markov-renewal methods

Queueing Systems

George Kesidis

Takis Konstantopoulos

Michael A Zazanis

2023/2

Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection

arXiv preprint arXiv:2308.04617

Hang Wang

Zhen Xiang

David J Miller

George Kesidis

2023/8/8

Post-Training Overfitting Mitigation in DNN Classifiers

arXiv preprint arXiv:2309.16827

Hang Wang

David J Miller

George Kesidis

2023/9/28

Anomaly detection of adversarial examples using class-conditional generative adversarial networks

Computers & Security

Hang Wang

David J Miller

George Kesidis

2023/1/1

Stash: A comprehensive stall-centric characterization of public cloud VMs for distributed deep learning

Aakash Sharma

Vivek M Bhasi

Sonali Singh

Rishabh Jain

Jashwant Raj Gunasekaran

...

2023/7/18

A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers

Xi Li

David J Miller

Zhen Xiang

George Kesidis

2023/9/17

Post-training detection and identification of backdoor-poisoning attacks

2023/7/18

Anomaly-Detection Defense Against Test-Time Evasion Attacks on Robust DNNs

Ye Tao

Zhen Xiang

David J Miller

George Kesidis

2023/9/6

Training set cleansing of backdoor poisoning by self-supervised representation learning

Hang Wang

Sahar Karami

Ousmane Dia

Hippolyt Ritter

Ehsan Emamjomeh-Zadeh

...

2023/6/4

Adversarial Learning and Secure AI

David J Miller

Zhen Xiang

George Kesidis

2023/8/31

Container Sizing for Microservices with Dynamic Workload by Online Optimization

Nader Alfares

George Kesidis

2023/12/11

Splice: An automated framework for cost-and performance-aware blending of cloud services

Myungjun Son

Shruti Mohanty

Jashwant Raj Gunasekaran

Aman Jain

Mahmut Taylan Kandemir

...

2022/5/16

Backdoor Mitigation by Correcting Activation Distribution Alteration

Xi Li

Zhen Xiang

George Kesidis

Bo Li

David J Miller

2022/9/29

See List of Professors in George Kesidis University(Penn State University)

Co-Authors

H-index: 110
Vern Paxson

Vern Paxson

University of California, Berkeley

H-index: 63
Anna Scaglione

Anna Scaglione

Arizona State University

H-index: 61
Chita R. Das

Chita R. Das

Penn State University

H-index: 58
Peng Liu

Peng Liu

Penn State University

H-index: 45
Costas Courcoubetis

Costas Courcoubetis

Singapore University of Technology and Design

H-index: 20
Christopher Griffin

Christopher Griffin

Penn State University

academic-engine