Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces Authors: Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, Matthew Wright | Published: 2019-02-18 | Updated: 2020-10-28 Backdoor DetectionAdversarial ExampleAdversarial Attack Methods 2019.02.18 2025.05.28 Literature Database
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 Data PreprocessingPerformance EvaluationClassification Pattern Analysis 2019.02.18 2025.05.28 Literature Database
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 Trigger DetectionTrojan DetectionBackdoor Detection 2019.02.18 2025.05.28 Literature Database
A Little Is Enough: Circumventing Defenses For Distributed Learning Authors: Moran Baruch, Gilad Baruch, Yoav Goldberg | Published: 2019-02-16 Adversarial LearningAdversarial attackAdversarial Attack Methods 2019.02.16 2025.05.28 Literature Database
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 PoisoningAdversarial attackAdversarial Attack Methods 2019.02.16 2025.05.28 Literature Database
Adversarial Examples in RF Deep Learning: Detection of the Attack and its Physical Robustness Authors: Silvija Kokalj-Filipovic, Rob Miller | Published: 2019-02-16 Adversarial ExampleAdversarial attackAdversarial Attack Methods 2019.02.16 2025.05.28 Literature Database
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples? Authors: Cody Burkard, Brent Lagesse | Published: 2019-02-14 Adversarial ExampleAdversarial Example DetectionAdversarial Attack Methods 2019.02.14 2025.05.28 Literature Database
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 Certified RobustnessAdversarial attackAdversarial Attack Methods 2019.02.13 2025.05.28 Literature Database
Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise Authors: Mehrdad Showkatbakhsh, Can Karakus, Suhas Diggavi | Published: 2019-02-13 Differential PrivacyInformation-Theoretic ApproachRelative Error Analysis 2019.02.13 2025.05.28 Literature Database
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 Performance EvaluationThreat ModelWatermarking Technology 2019.02.12 2025.05.28 Literature Database