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George Kesidis

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

Feb 03, 2024
Xi Li, Hang Wang, David J. Miller, George Kesidis

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GPU Cluster Scheduling for Network-Sensitive Deep Learning

Jan 29, 2024
Aakash Sharma, Vivek M. Bhasi, Sonali Singh, George Kesidis, Mahmut T. Kandemir, Chita R. Das

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Post-Training Overfitting Mitigation in DNN Classifiers

Sep 28, 2023
Hang Wang, David J. Miller, George Kesidis

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Temporal-Distributed Backdoor Attack Against Video Based Action Recognition

Sep 01, 2023
Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis

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Backdoor Mitigation by Correcting the Distribution of Neural Activations

Aug 18, 2023
Xi Li, Zhen Xiang, David J. Miller, George Kesidis

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

Aug 08, 2023
Hang Wang, Zhen Xiang, David J. Miller, George Kesidis

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Analysis of Distributed Deep Learning in the Cloud

Aug 30, 2022
Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das

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Universal Post-Training Backdoor Detection

May 13, 2022
Hang Wang, Zhen Xiang, David J. Miller, George Kesidis

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Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios

Jan 20, 2022
Zhen Xiang, David J. Miller, George Kesidis

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