Adversarial Vulnerability Bounds for Gaussian Process Classification
Authors: Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A Alvarez | Published: 2019-09-19
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Differentially Private Regression and Classification with Sparse Gaussian Processes
Authors: Michael Thomas Smith, Mauricio A. Alvarez, Neil D. Lawrence | Published: 2019-09-19
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
Authors: Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi | Published: 2019-09-19
Non-Interactive Private Decision Tree Evaluation
Authors: Anselme Tueno, Yordan Boev, Florian Kerschbaum | Published: 2019-09-18
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Authors: Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain | Published: 2019-09-17 | Updated: 2019-10-09
Enterprise API Security and GDPR Compliance: Design and Implementation Perspective
Authors: Fatima Hussain, Rasheed Hussain, Brett Noye, Salah Sharieh | Published: 2019-09-17
Machine Learning based IoT Edge Node Security Attack and Countermeasures
Authors: Vishalini R. Laguduva, Sheikh Ariful Islam, Sathyanarayanan Aakur, Srinivas Katkoori, Robert Karam | Published: 2019-09-17
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges
Authors: Jinyuan Jia, Neil Zhenqiang Gong | Published: 2019-09-17 | Updated: 2019-09-19
Network entity characterization and attack prediction
Authors: Vaclav Bartos, Martin Zadnik, Sheikh Mahbub Habib, Emmanouil Vasilomanolakis | Published: 2019-09-17
They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization
Authors: Rayan Mosli, Matthew Wright, Bo Yuan, Yin Pan | Published: 2019-09-16