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Adversarial Machine Learning

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TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems

Submitted by aekwall on Tue, 08/31/2021 - 11:48am

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Black Box Attack on Machine Learning Assisted Wide Area Monitoring and Protection Systems

Submitted by aekwall on Tue, 07/27/2021 - 1:59pm

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Effects of Forward Error Correction on Communications Aware Evasion Attacks

Submitted by grigby1 on Wed, 06/30/2021 - 3:26pm

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Data Poisoning Attack on Deep Neural Network and Some Defense Methods

Submitted by aekwall on Thu, 06/24/2021 - 11:50am

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Encryption Inspired Adversarial Defense For Visual Classification

Submitted by grigby1 on Thu, 05/20/2021 - 11:55am

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Fooling A Deep-Learning Based Gait Behavioral Biometric System

Submitted by grigby1 on Thu, 03/04/2021 - 2:34pm

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Effectiveness of Random Deep Feature Selection for Securing Image Manipulation Detectors Against Adversarial Examples

Submitted by grigby1 on Mon, 12/28/2020 - 12:49pm

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BlurNet: Defense by Filtering the Feature Maps

Submitted by grigby1 on Mon, 12/28/2020 - 12:48pm

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TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks

Submitted by grigby1 on Wed, 11/04/2020 - 2:15pm

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