Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
Authors: Arash Rahnama, Andre T. Nguyen, Edward Raff | Published: 2019-11-12
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RAD: On-line Anomaly Detection for Highly Unreliable Data
Authors: Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen | Published: 2019-11-11
DRAB-LOCUS: An Area-Efficient AES Architecture for Hardware Accelerator Co-Location on FPGAs
Authors: Jacob T. Grycel, Robert J. Walls | Published: 2019-11-11
Privacy-Preserving Gradient Boosting Decision Trees
Authors: Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He | Published: 2019-11-11 | Updated: 2022-10-10
Collaborative Homomorphic Computation on Data Encrypted under Multiple Keys
Authors: Asma Aloufi, Peizhao Hu | Published: 2019-11-11
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy
Authors: Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei | Published: 2019-11-10 | Updated: 2020-10-29
Preservation of Anomalous Subgroups On Machine Learning Transformed Data
Authors: Samuel C. Maina, Reginald E. Bryant, William O. Goal, Robert-Florian Samoilescu, Kush R. Varshney, Komminist Weldemariam | Published: 2019-11-09
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models
Authors: Reginald Bryant, Celia Cintas, Isaac Wambugu, Andrew Kinai, Komminist Weldemariam | Published: 2019-11-09
AutoIDS: Auto-encoder Based Method for Intrusion Detection System
Authors: Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou | Published: 2019-11-08
Imperceptible Adversarial Attacks on Tabular Data
Authors: Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki | Published: 2019-11-08 | Updated: 2019-12-13