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Perturbation methods

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Evaluating Model Robustness to Adversarial Samples in Network Intrusion Detection

Submitted by grigby1 on Tue, 06/14/2022 - 1:12pm

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Modified RNP Privacy Protection Data Mining Method as Big Data Security

Submitted by grigby1 on Tue, 06/14/2022 - 1:11pm

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Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples

Submitted by grigby1 on Mon, 04/25/2022 - 4:29pm

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Nomen Est Omen - The Role of Signatures in Ascribing Email Author Identity with Transformer Neural Networks

Submitted by grigby1 on Tue, 04/19/2022 - 1:16pm

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Sybil Attacks and Defense on Differential Privacy based Federated Learning

Submitted by grigby1 on Wed, 03/23/2022 - 11:34am

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A delayed Elastic-Net approach for performing adversarial attacks

Submitted by aekwall on Tue, 02/22/2022 - 2:17pm

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Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems

Submitted by grigby1 on Wed, 02/09/2022 - 2:49pm

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Leveraging Resilience Metrics to Support Security System Analysis

Submitted by aekwall on Fri, 02/04/2022 - 10:36am

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Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation

Submitted by aekwall on Mon, 01/31/2022 - 4:33pm

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Beating White-Box Defenses with Black-Box Attacks

Submitted by aekwall on Mon, 01/31/2022 - 4:12pm

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