Optimizing Stochastic Gradient Descent in Text Classification Based on Fine-Tuning Hyper-Parameters Approach. A Case Study on Automatic Classification of Global Terrorist Attacks

Authors: Shadi Diab | Published: 2019-02-18 | Updated: 2019-02-23
2019.02.18 2025.04.03
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STRIP: A Defence Against Trojan Attacks on Deep Neural Networks

Authors: Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith C. Ranasinghe, Surya Nepal | Published: 2019-02-18 | Updated: 2020-01-17
2019.02.18 2025.04.03
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A Little Is Enough: Circumventing Defenses For Distributed Learning

Authors: Moran Baruch, Gilad Baruch, Yoav Goldberg | Published: 2019-02-16
2019.02.16 2025.04.03
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Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training

Authors: Silvija Kokalj-Filipovic, Rob Miller, Nicholas Chang, Chi Leung Lau | Published: 2019-02-16
2019.02.16 2025.04.03
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Adversarial Examples in RF Deep Learning: Detection of the Attack and its Physical Robustness

Authors: Silvija Kokalj-Filipovic, Rob Miller | Published: 2019-02-16
2019.02.16 2025.04.03
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Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples?

Authors: Cody Burkard, Brent Lagesse | Published: 2019-02-14
2019.02.14 2025.04.03
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The Odds are Odd: A Statistical Test for Detecting Adversarial Examples

Authors: Kevin Roth, Yannic Kilcher, Thomas Hofmann | Published: 2019-02-13 | Updated: 2019-05-09
2019.02.13 2025.04.03
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Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise

Authors: Mehrdad Showkatbakhsh, Can Karakus, Suhas Diggavi | Published: 2019-02-13
2019.02.13 2025.04.03
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TensorSCONE: A Secure TensorFlow Framework using Intel SGX

Authors: Roland Kunkel, Do Le Quoc, Franz Gregor, Sergei Arnautov, Pramod Bhatotia, Christof Fetzer | Published: 2019-02-12
2019.02.12 2025.04.03
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Adversarial Samples on Android Malware Detection Systems for IoT Systems

Authors: Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani | Published: 2019-02-12
2019.02.12 2025.04.03
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