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Mark Dras

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What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples

Sep 21, 2023
Shakila Mahjabin Tonni, Mark Dras

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OptIForest: Optimal Isolation Forest for Anomaly Detection

Jun 23, 2023
Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu

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Directional Privacy for Deep Learning

Nov 09, 2022
Pedro Faustini, Natasha Fernandes, Annabelle McIver, Mark Dras

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Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations

Apr 29, 2022
Na Liu, Mark Dras, Wei Emma Zhang

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Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis

Mar 18, 2022
Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He

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Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation

Jul 27, 2021
Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang

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Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection

Jun 05, 2020
Omid Mohamad Nezami, Akshay Chaturvedi, Mark Dras, Utpal Garain

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Siamese Networks for Large-Scale Author Identification

Jan 21, 2020
Chakaveh Saedi, Mark Dras

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